IIZUKA94

PROCEEDINGSThe 3rd International Conference onFuzzy Logic, Neural Nets andSoft Computing

SPONSORED BYInternationalFuzzy Systems Association(IFSA)

InternationalNeural Network Society(INNS)

Society forFuzzy Theory and Systems(SOFT)

Japanese NeuralNetwork Society(JNNS)

Kyushu Instituteof Technology(KIT)

Fuzzy LogicSystems Institute(FLSI)

CONTENTS

OPENING LECTURES

1. Fuzzy Logic and Soft Computing: Issues, Contentions and Perspectives 1Prof. Lotfi A. ZadehUniversity of California, Berkeley (U.S.A.)

2. Measuring and Modeling Multisensory Convergence and TemporospatiaIntegration in the Limbic System of the Brain 3

Prof. Walter J. FreemanUniversity of California, Berkeley (U.S.A.)

3 . The Brain - Its Peculiarities as an Information Processing System 11Prof. Gen MatsumotoElectrotechnical Laboratory (Japan)

PLENARY LECTURES

1. Classic Non-linear Systems, Fuzzy Systems and Neural Networks 17Prof. Horia-Nicolai L. TeodorescuTechnical University of Iasi (Romania)

2 . Fuzzy Logic and Genetic Algorithms in Information Retrieval 29Prof. Elie SanchezN & F Institute (France)

3 . Structural Learning in Neural Networks 37Prof. Masumi IshikawaKyushu Institute of Technology (Japan)

4. Neural Associative Memories with Multiple Stable States 45Prof. Jacek M. ZuradaUniversity of Louisville (U.S.A.)

5. Information Processing with Network of Chaotic Elements 53Prof. Kunihiko KanekoUniversity of Tokyo (Japan)

6. Some Function of Chaos in the Cortex 55Prof. Ichiro TsudaHokkaido University(Japan)

INVITED / ORDINARY SESSIONS

A-l NEURAL NETWORK DESIGN AND EVALUATION PART 1

1. Ternary Logic Oriented Neural Networks 59Ali Massoud Haidar and Mititada MorisueSaitama University (Japan)

2. A Study on Learning Convergence of the MVL Neuron Model 63Akira Tanaka*, M. Fujimori*, M. Matsumoto**, H. Uesako** and T. Watanabe*Tokyo Polytechnic College (Japan)**Toyo University (Japan)

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3 . Adaptive Type of Associative Memories with Capability of Pattern Segmentationand Noise Immunity 65

QingMaCommunications Research Laboratory (Japan)

4. Evaluating the Consistency Between Input Uncertainty and Learning Accuracyin Neural Networks 69

Robert Kozma, M. Sakuma, S. Sato and M. KitamuraTohoku University (Japan)

A-2 NEURAL NETWORK DESIGN AND EVALUATION PART 2

1. Lateral Interaction in the Kohonen's Learning Model 71Kikuo Fujimura, Tomoya Yamagishi, Heizo Tokutaka, Tetsuya Fujiwara andSatoru KishidaTottori University (Japan)

2 . Finite and Continuous Mapping Ability of Three Layer Neural Networks withSigmoidal Hidden Units 73

Peter Ge"czyToyohashi University of Technology (Japan)

3 . Efficient Learning of Nearest Neighbor Multilayer Perceptrons 77Qiangfu Zhao and Tatsuo HiguchiTohoku University (Japan)

4 . A Clustering Analysis and Learning Rate for Self-Organizing Feature Map 79Jang-Hee Yoo, Byoung-Ho Kang and Jae-Woo KimSystems Engineering Research Institute (Korea)

A-3 PRACTICAL APPLICATIONS OF COOPERATIVE SYSTEMS IN SOFTCOMPUTING

Organizer : Dr. Hideyuki TakagiMatsushita Electric Industrial Co., Ltd. (Japan)

1. The Control of Public Address Systems through the Use of Fuzzy Inference andNeural Networks (Invited) 81

Kiyohiro Kurisu and Kazuo FukuyamaTOA Corporation (Japan)

2. A Cooperative System of Neural Networks and Genetic Algorithm with FuzzyPopulation Generator for Computer Color Recipe Prediction (Invited) 83

Eiji Mizutani*, Hideyuki Takagi** and David M. Auslander**University of California, Berkeley (U.S.A.)**Matsushita Electric Industrial Co., Ltd. (Japan)

3 . Learning the Object Behavior by Fuzzy Neural Model 85Dorian GorganTechnical University of Cluj-Napoca (Romania)

4 . Learning and Extracting Method for Fuzzy Rules using Neural Networks withModified Structure Level Adaptation 87

Takumi Ichimura and Eiichiro TazakiToin University of Yokohama (Japan)

A-4 FUZZY NEURAL COMPUTING SYSTEMS

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1 . Effectiveness of Regularization in Neuro-Fuzzy Computerized Tomography . 9 1Hidetomo Ichihashi, Tetsuya Miyoshi, Kazunori Nagasaka and Ayako ShibataUniversity of Osaka Prefecture (Japan)

2 . Neuro-fuzzy Controller Design Using Neuro-fuzzy Identifier 93Minho Lee, Soo-Young Lee and Cheol Hoon ParkKorea Advanced Institute of Science and Technology (Korea)

3 . Cooperation of Modularized Neural Networks by Fuzzy Integral with OWAOperators 95

Sung-Bae ChoATR Human Information Processing Research Laboratories (Japan)

A-5 NEURAL NETS AND DECISION AND OPTIMIZATION (INVITED)Organizer: Prof. Mario Fedrizzi

Universita di Trento (Italy)

1. The Analytic Hierarchy Process as a Neural Net 97Patrik Eklund* and Aldo Ventre***Abo Akademi University (Finland)**University of Naples (Italy)

2 . Consensual Dynamics: An Unsupervised Learning Model in Group DecisionMaking 99

Mario Fedrizzi, Michele Fedrizzi and R. A. Marques PereiraUniversita di Trento (Italy)

3 . OCA Functions for Consensus Reaching in Group Decisions in FuzzyEnvironment .101

Robert Fuller*, Loris Gaio**, Luisa Mich** and Alessandro Zorat***E6tvos Lordnd University (Hungary)**University of Trento (Italy)

4. Fuzzy Multicriteria Decision Using Neuron Model 103Margit KovacsL. Eotvos University (Hungary)

5. Relevance Feedback in Information Retrieval Modeled by a User AdaptiveNeural Network 105

Gloria Bordogna and Gabriella PasiCNR (Italy)

A-6 NEURAL NETWORKS AND APPLICATIONS PART 1

1. Artificial Neural Network for Dynamic Simulation of a CTMP Process 107YuQianTsinghua University (P.R.China)

2 . Tool Failure Monitoring for Drilling Processes 109Yeong-Shin Tarng, T. C. Li and M. C. ChenNational Taiwan Institute of Technology (R.O.China)

3 . The Identification of Many Different Odor Species Using a Neural Network 113Ryosuke Konishi, Tomoyuki Osaki, Byeongdeok Yea and Kazunori SugaharaTottori University (Japan)

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4 . Dynamics of Neural Networks with the Aid of Supersymmetry Fields 115Yoshitake Yamazaki*, Moyuru Ochiai** and Arno Holz****Kyushu Institute of Technology (Japan)••Shohoku College (Japan)•••Universitat des Saarlandes (Germany)

A-7 NEURAL NETWORKS AND APPLICATIONS PART 2

1 . Neural Networks for Thyroidal Disorder Classification 117Silvano Franceschini*, Lino Furlani* and Alessandro Zorat***Ospedale Civile Maggiore di Verona (Italy)••University of Trento (Italy)

2 . Neural Networks for ECG Compression and Classification 121Jose" Ram6n Hilera Gonzalez*, Manuel Mazo* and Vfctor J. Martinez***Universidad de Alcaic de Henares (Spain)**Universidad Polite"cnica de Madrid (Spain)

3 . Application of Neural Network Algorithm to CAD of Magnetic Systems 125Yoshitake Yamazaki*, Moyuru Ochiai**, Arno Holz*** and Toshito Hara****•Kyushu Institute of Technology (Japan)••Shohoku College (Japan)•••Universitat des Saarlandes (Germany)••••Advantest Corporation (Japan)

4 . A Novel Neuro-controller for Nonminimum Phase Systems 127Sangbong Park, Lae-Jeong Park, Cheol Hoon Park and Zeungnam BienKorea Advanced Institute of Science and Technology (Korea)

A-8 NEURAL NETWORKS AND APPLICATIONS IN A X

1 . Hybrid Network Architectures in Natural Language Understanding 129Dan Corbet^ and Darryl Sim***University of South Australia (Australia)**University of Technology, Sydney (Australia)

2 . Navigation on Topologic Feature-Maps 131Uwe R. Zimmer, Cornelia Fischer and Ewald von PuttkamerUniversity of Kaiserslautern (Germany)

3 . Hybrid Location-Content Addressable Memory with Application to CharacterRecognition 133

S. B. Koh, J. H. Kim, Bo-Hyeum WangGoldStar Central Research Laboratory (Korea)

4 . Neural Network Adaptive Control with Fast Learning Algorithm 135Gi Joon Jeon and In Soo LeeKyungpook National University (Korea)

5 . Convergence Suppression and Divergence Facilitation for Pruning Multi-OutputBackpropagation Networks 137

Shozo YasuiKyushu Institute of Technology (Japan)

A-9 NEURAL NETWORK AND TEXTURES IN IMAGE ANALYSISOrganizer: Dr. Ari Visa

Helsinki University of Technology (Finland)

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1. Recent Developments in Texture Classification (Invited) 141Matti Pietikainen, Timo Ojala and Jarkko NisulaUniversity of Oulu (Finland)

2 . Texture Segmentation: An Unsupervised Approach (Invited) 143Mukul V. ShirvaikarUniversity of West Florida (U.S.A.)

3 . Texture Segmentation Based on Neural Networks (Invited) 145Ari VisaHelsinki University of Technology (Finland)

4 . Practical Applications of Neural Networks in Texture Analysis 149M. KQppenFraunhofer Institut fur Produktionsanlagen und Konstruktionstechnik Berlin(Germany)

1-1 CONNECTIONIST ft HYBRID CONNECTIONIST SYSTEMS FORAPPROXIMATE REASONING (INVITED)

Organizer: Dr. Nikola K. KasabovUniversity of Otago (New Zealand)

1. Connectionist Fuzzy Production Systems as Universal Machines for ApproximateReasoning 151

Nikola K. KasabovUniversity of Otago (New Zealand)

2. The CONSYDERR Architecture 153Ron SunThe University of Alabama (U.S.A.)

3. Knowledge Representation in a Hybrid Connectionist Associative Memory 155Arun Jagota* and Joerg Ueberla***Memphis State University (U.S.A.)** Simon Fraser University (Canada)

4. Connectionist Decision Systems for a Visual Search Problem 159Uwe R. ZimmerUniversity of Kaiserslautern (Germany)

1-2 FUZZY NEURAL NETWORKS - LEARNING (INVITED)Organizer: Dr. Hisao Ishibuchi

University of Osaka Prefecture (Japan)

1. A General Approach to the Learning of Fuzzy Connection Weights 163Hisao IshibuchiUniversity of Osaka Prefecture (Japan)

2. An Automatic Acquisition of Fuzzy Rules with Linguistic Hedges Using a FuzzyNeural Network 165

Shin-ichi Horikawa, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

3. Adaptive Tree-Structured Self Generating Radial Basis Function and itsApplication to Nonlinear Identification Problem 167

Masahide Watanabe, Kaihei Kuwata and Ryu KatayamaSanyo Electric Co., Ltd. (Japan)

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4. Differential Minimum Bias Criterion for Neuro-Fuzzy GMDH 171Hidetomo Ichihashi and Kazunori NagasakaUniversity of Osaka Prefecture (Japan)

B-3 FUZZY INFORMATION PROCESSING & NEURAL NETWORKS(INVITED)

Organizer: Dr. Liya DingNational University of Singapore (Singapore)

1. Linguistic Fuzzy Rule Set Generation Based on Experimental Data 173Gancho Vachkov* and Kaoru Hirota***Sofia University of Technology (Bulgaria)**Hosei University (Japan)

2. A Fuzzy Model for Information Retrieval 175Anne H. H. Ngu, John Shepherd and Taeko YamamotoThe University of New South Wales (Australia)

3. Abstracting Knowledge Acquisition from Experts in a Practical ApplicationUsing a Neural Network 177

Tamds Gedeon and Arthur RamerUniversity of New South Wales (Australia)

4. Fuzzy Logic Based Techniques for Partial and Fuzzy Constraint SatisfactionCheong Yiu Fung^ and Sing Chai Chan^* 179*Nanyang Polytechnic School of Engineering (Singapore)**National University of Singapore (Singapore)

5. The Basic Conception of Fuzzy Neural Logic Programming in Fuzzy NeuralLogic Networks 181

Liya Ding and Hoon Heng TehNational University of Singapore (Singapore)

1 .4 FUZZY NEURAL NETWORKS PART 1

1 . An Associative Memory System Based on Exceptional Processing 183Atsushi Imura*, Toru Yamaguchi**, Hirohide Ushida* and Tomohiro Takagi**^•Laboratory for International Fuzzy Engineering Research (Japan)••Utsunomiya University (Japan)•••Matsushita Electric Industrial Co.,Ltd. (Japan)

2 . Fuzzy Neuronal Networks and Genetic Algorithms 187Madan M. Gupta and Hong DingUniversity of Saskatchewan (Canada)

3 . A Calligraphy System Based on Analyzing User Writing Speed 189Tsuyoshi Nakamura, Takashi Kuroda, Hidenori Itoh and Hirohisa SekiNagoya Institute of Technology (Japan)

4 . Computational Intelligence for the Identification of Dynamical Systems 191Victor Vergara and Claudio MoragaUniversity of Dortmund (Germany)

1-5 FUZZY NEURAL NETWORKS PART 2

1 . A Fuzzy Neural Network Controller Based on Gaussian Potential FunctionsKeigo Watanabe and Mohammad Teshnehlab 193Saga University (Japan)

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2 . Rule Combination in a Fuzzy Neural Network 197Young-Jeng Chen and Ching-Cheng TengNational Chiao-Tung University (R.O.China)

3 . Fuzzy Neural System for Terrain Knowledge Integration 201Petr MusflekUniversity of Saskatchewan (Canada)

4 . Chaotic Memory Search in Fuzzy Associative Inference 203Tomohiko Sato* Hirohide Ushida^, Torn Yamaguchi**, Atsushi Imura* andTomohiro Takagi****Laboratory for International Fuzzy Engineering Research (Japan)**Utsunomiya University (Japan)•••Matsushita Electric Industrial Co., Ltd. (Japan)

1-6 FUZZY SIGNAL PROCESSINGOrganizer : Prof. Eiji Uchino

Kyushu Institute of Technology (Japan)

1. A Signal Processing Method for Non-Gaussian Sound Environment Based onNeural Network and Fuzzy Probability (Theory and Principle Experiment)(Invited) 207

Noboru Nakasako, Mitsuo Ohta and Akira IkutaKinki University (Japan)

2 . An Approach to Fuzzy Modeling with Use of a Piece-Wise Linear AdaptiveMembership Function (Invited) 209

Eiji Uchino^, Takeshi Yamakawa^ and Shin-ya Kikuzumi***Kyushu Institute of Technology (Japan)••Matsushita Electric Industrial Co., Ltd. (Japan)

3 . Inference System Using Optical Images 211Kazuho TamanoHiroshima Institute of Technology (Japan)

4. Architectures for Neuro-Fuzzy Discrete Systems (Filters) (Invited) 213Horia-Nicolai L. TeodorescuTechnical University of Iasi (Romania)

1-7 MAN-MACHINE COMMUNICATION PART 1

1. An Unknown Word Model for Unrestricted Japanese Texts Based onGeneralized Mutual Information Statistics of Characters 217

Kenji Kita, Kazuhiko Ashibe and Yoneo YanoTokushima University (Japan)

2 . Fuzzy Model of Joystick Operation for Cursor Positioning on a CRT on CervicalInjuries 219

Masafumi Ide+, Syuichi Ishizaka^^ and Kenji Kurosu^•Spinal Injuries Center (Japan)**Kyushu Institute of Technology (Japan)

3 . Functional Performance of the Parameterized Fuzzy Processor 221Bor-Tow Chen*, Yung-Sheng Chen^ and Wen-Hsing•National Tsing Hua University (R.O.China)••Yuan-Ze Institute of Technology (R.O.China)•••Academia Sinica (R.O.China)

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4 . Neural Network Application to Optical Time Domain Reflectometer 223Takayuki Yamada, Tetsuro Yabuta and Nobuo TomitaNTT Telecommunication Field Systems R&D Center (Japan)

1-8 MAN-MACHINE COMMUNICATION PART 2

1 . Estimating Phoneme Similarity for Continuous Speech Recognition 225Ha Jin Yu, Sung Joo Kim and Yung Hwan OhKorea Advanced Institute of Science and Technology (Korea)

2 . Development of RPG Style CAI System for Kanji Learning "KanjiQuest" . . . .227Tomoji Nakatani*, Yasuyuki Fukuba**, Toshihiro HayashJ*** and Yoneo Yano***Sumitomo Metal Industries, Ltd. (Japan)**Tokushima University (Japan)•••Saga University (Japan)

3 . Dynamic Evaluation of Dialog Performance for an Information Retrieval-BasedSystem .229

Chaochang ChiuYuan Ze Institute of Technology (R.O.China)

4 . Vision System for Fuzzy Driving Control of an Automatic Vehicle 231Katsumi Nishimori, Mataharu Okada, Naganori Ishihara and Heizo TokutakaTottori University (Japan)

1-9 NEURAL NETS AND OPTIMIZATION PROBLEMS

1 . Lagrange Programming Neural Networks with Polarized High-OrderConnections for Satisfiability Problems of Propositional Calculus 233

Masahiro Nagamatu and Torao YanaruKyushu Institute of Technology (Japan)

2 . Using Genetic Algorithms and Artificial Neural Networks in EvolutionaryEconomic Models 237

Sergio ScandizzoUniversita Federico II di Napoli (Italy)

3 . Power System Optimal Power Flow with a Modified Platt Neural Net 239Hiroyuki Mori and Norio OhshimaMeiji University(Japan)

4 . An Electronic Oscillatory Neural Network for Optimization Problems 241Keiichi Yoshino*, Yoshiaki Watanabe** and Tetsuro Kakeshita***Kitakyushu College of Technology (Japan)**Saga University (Japan)

C-1 FUZZY REASONING AND APPLICATIONS PART 1 (INVITED)TMs Session is Dedicated to tlhe Msmmoffy of Zialimng Slhem

Organizer: Prof. Laszld T. K6czyTokyo Institute of Technology (Japan)

1. The Work of ZULIANG SHEN In Fuzzy Reasoning 243Liya DingNational University of Singapore (Singapore)

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2. Fuzzy Dynamic Programming - Battling against the Curse of Dimensionality viaInterpolative Reasoning 245

Janusz KacprzykPolish Academy of Sciences (Poland)

3. Information Interpretation of Reasoning with Fuzzy Uncertainty 247Arthur Ramer*, Laszl6 T. K6czy** and Colette Padet*^•University of New South Wales (Australia)**Tokyo Institute of Technology (Japan)***Laboratoire de Thermome'canique, S. U. E., GRSM (France)

4. On Fuzzy Inference with "If...Then...Else" Rule Using Generalized MeansMargit Kovacs 249L. Eotvos University (Hungary)

C-2 FUZZY REASONING AND APPLICATIONS PART 2 (INVITED)Tikis Sessiom is Dedicated to ttlbe Memory of Ziali&mg Slhen

Organizer: Prof. Laszld T. K6czyTokyo Institute of Technology (Japan)

1. The Fuzzy Metric-Truth Reasoning Approach to Decision Making in SoftComputing Environments 251

Vesa A. NiskanenUniversity of Helsinki (Finland)

2. Image Analysis Based on Reasoning with Fuzzy SimilaritiesRudolf Felix 253Fuzzy Demonstrations-Zentrum Dortmund (Germany)

3. Reasoning with Graded Chains of T-norms and T-conorms 255Jorma K. ManilaLappeenranta University of Technology (Finland)

4. Approximate Models and Reasoning 257L&zl6 T. K6czyTokyo Institute of Technology (Japan)

C-3 FUZZY MEASURES AND APPLICATIONS

1. A Normal Possibility Decision Rule on Fuzzy Events under an Observation 259Yoshiki UemuraMie University (Japan)

2. Fuzzy Expert System Based on Fuzzy Integral 261Jong-Hwan Kim, Kwang-Choon Kim and Jeon-Yeol JeonKorea Advanced Institute of Science and Technology (Korea)

3 . Decision Making under Uncertainty: Application of Fuzzy Logic to RiskAssessment and Management of Space Systems 263

Yasushi Nishiwaki*, Christian Preyssl** and Sebastian Schmid**•University of Vienna (Austria)••European Space Agency (The Netherlands)

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4 . Fuzzy Soft Processing after the Occurrence of Significant Earthquakes 265Ming-Zhou Lin*, Zhi-Guang Zhao*, Xue-Jun Yu**, Li-Xun Yao*^,De-Yi Feng%** and Hidemi M. Ito*****Seismological Bureau of Shanghai (P.R.China)**Seismological Bureau of Zhejiang Province (P.R.China)***Seismological Bureau of TianJing China (P.R.China)••••Meteorological Research Institute (Japan)

C-4 LEARNING ALGORITHMS PART 1

1 . Projection Learning Algorithm of Multilayer Perceptron and Its ConvergenceProperties 267

Yong-Woon Kim and Dong-Jo ParkKorea Advanced Institute of Science and Technology (Korea)

2 . Trial-and-Error Correlation Learning to Control an Inverted Pendulum 271Osamu Fujita and Kuniharu UchimuraNTT LSI Laboratories (Japan)

3 . Fuzzy Algebraic Adaptive Systems Based on Non-Linear Combiners 273Horia-Nicolai L. Teodorescu*, M. Anghelescu*^ and V. Belous**Technical University of Iasi (Romania)**Institute of Information Sciences, Iasi (Romania)

4 . Use of Fuzzy Mathematics for Assessing Problem-Based Learning 277JianMACity Polytechnic of Hong Kong (Hong Kong)

C-5 LEARNING ALGORITHMS PART 2

1 . An Improved Neural Network Learning Rule which implicitly Stores TrainingHistory in Weights 279

Ferdinand Peper and Hideki NodaJapan Ministry of Posts and Telecommunications (Japan)

2 . Adaptive Fuzzy Control of Learning Rate for Backpropagation Algorithm . . .283Horia-Nicolai L. Teodorescu and Cristian BonciuTechnical University of Iasi (Romania)

3 . On the Rationality of Profit Sharing in Reinforcement Learning 285Kazuteru Miyazaki, Masayuki Yamamura and Shigenobu KobayashiTokyo Institute of Technology (Japan)

4 . Reinforcement Learning with Delayed Rewards on Continuous State Space..289Hajime Kimura, Masayuki Yamamura and Shigenobu KobayashiTokyo Institute of Technology (Japan)

C-6 APPLICATIONS OF FUZZY TECHNOLOGY TO HUMAN INTERFACE ANDEDUCATION (INVITED)

Organizer: Prof. Torao YanaruKyushu Institute of Technology (Japan)

1. Fuzzy Mathematical Model for Decision Making Problem on Class RoomFormation 293

Yoshihiro Morimoto, Taeko Abe and Chiharu FukushimaKumamoto National College of Technology (Japan)

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2 . Approximate Graphical Analysis of Fuzzy Sociogram 297Seiichi Shimizu* and Hajime Yamashita^•Hyogo University of Education (Japan)••Waseda University (Japan)

3 . Generation of Drawing by Using Neural Network for Feature Detection 299Akikazu Tamaki, Toshihisa Iwakiri and Tamotsu TaketomiKyushu Institute of Technology (Japan)

4 . Natural Language Processing Based on Frame Oriented Theory 303Seiji Yokoji, Naruki Shirahama and Torao YanaruKyushu Institute of Technology (Japan)

C-7 APPLICATIONS OF FUZZY TECHNOLOGY TO 1IOMEDICALANALYSIS AND EMOTION EXPRESSION (INVITED)

Organizer: Prof. Seizaburo Arita* and Prof. Torao Yanaru**•Kansai Medical University (Japan)••Kyushu Institute of Technology (Japan)

1. Emotional Interactive System Based on the Theory for Subjective ObservationModel 307

Naruki Shirahama, Seiji Yokoji and Torao YanaruKyushu Institute of Technology (Japan)

2. Construction of 3-D Emotion Space using Neural Network 309Fumio Kawakami^, Shigeo Morishima^, Hiroshi Yamada*^ andHiroshi Harashima%++

•Seikei University (Japan)**Kawamura College (Japan),***University of Tokyo (Japan)

3 . Development of Fuzzy Logic Program "ProFINa" and application to AdverseDrug Effect Monitoring 311

Kazutaka Makino, Yasushi Nakao, Kenji Otubo and Ryozo OishiKyushu University (Japan)

4 . Neural Network, Fuzzy System, and Multiple Regression Models for Dental AgePrediction 313

Masao Ozaki*, Michael A. Lee*% and Hideyuki Takagi**** Fukuoka Dental College (Japan)** University of California, Davis (U.S.A.)*** Matsushita Electric Industrial Co., Ltd. (Japan)

C-8 APPLICATIONS OF FUZZY TECHNOLOGY TO 1IOMEDICINE (INVITED)Organizer: Prof. Seizaburo Arita

Kansai Medical University (Japan)

1. Diagnosis Assisting System by Possibility: Evaluation on Long Bone LesionsTatsumi Hamada and Suguru Ueda 315Kinki University School of Medicine (Japan)

2 . An Evaluation of Hoarseness by the Fuzzy Logic 317Katumi Makino*, Hiroyuki Fukuda** and Seizaburo Arita***• Shimada City (Japan)** Keio University School of Medicine (Japan)***Kansai Medical University (Japan)

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3 . Theory for Subjective Observation Concerning Vectors Derived From FrameOriented Patterns - An Application to Decision Processing and Evaluation ofMedical Diagnosis - 319

Torao Yanaru and Kaori YoshidaKyushu Institute of Technoogy (Japan)

4. Multistage Process of Fuzzy Inference and its Application to the MedicalDiagnosis 323

Seizaburo Arita^, Shigeru Morishita^* and Yoshimi Hori*^•Kansai Medical University (Japan)**Kawasaki Medical School (Japan)***Kawasaki University of Medical Welfare (Japan)

C-9 NON-PROBABILISTIC UNCERTAINTY: ITS INTERPRETATION ANDMANAGEMENT (INVITED)

Organizer: Dr. Nikhil R. PalIndian Statistical Institute (India)

1. Fuzzy Knowledge Representation in Neural Logic Networks 325Peizhuang Wang, Liya Ding, Hoon-Heng Teh, Ho Chung Luiand Kia Fock LoeNational University of Singapore (Singapore)

2 . Selection of a for a-hull and Formulation of Fuzzy a-hull in R2 327Deba Prasad Mandal and C. A. MurthyIndian Statistical Institute( India)

3 . Probability Interpretation of Non-Probabilistic Uncertainty 329Arthur Ramer and John HillerUniversity of New South Wales (Australia)

4 . FFCM: An Effective Approach for Large Data Sets 331B. Uma Shankar and N. R. PalIndian Statistical Institute (India)

D-l FUZZY CLUSTERING

1. Square-Error Clustering Scheme and Clustering Networks 333Byoung-Ho Kang, Doo-Seoung Hwang and Jang-Hee YooSystems Engineering Research Institute (Korea)

2 . Unsupervised Fuzzy Clustering Model with Optimal Clusters 335Hyun-Sook Rhee and Kyung-Whan OhSoGang University (Korea)

3 . Additive Fuzzy Clustering Model and The Validity Measure 337Mika Sato and Yoshiharu SatoHokkaido University (Japan)

4 . A Hierarchical Fuzzy Clustering and Its Application to Satellite Images 339Masao Naka*, Hiromichi Yamamoto*, Kohzo Homma*, Tadakuni Miyazaki **andYoshitaka Iwata***•National Aerospace Laboratory(Japan)••National Institute for Environment Studies (Japan)•••Fujits F.I.P. Inc.(Japan)

D-2 FUZZY CLUSTERING AND MORPHOLOGY

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1 . Feature Assessment in Imprecisely Supervised Environments 341Belur V. DasarathyDynetics, Inc. (U.S.A.)

2 . A Generalized Fuzzy Covariance Matrix 343Joseph M. BaroneLoki Software, Inc. (U.S.A.)

3 . Approximate Graphical Analysis of Fuzzy Sociogram 347Seiichi Shimizu %and Hajime Yamashita***Hyogo University of Education (Japan)••Waseda University (Japan)

4 . Mathematical Morphology and Fuzzy Logic 349Michel GrabischThomson-CSF (France)

D-3 APPROXIMATE REASONING PART I

1. Correlation Matrix Memories for Knowledge Manipulation 351James AustinUniversity of York (England)

2 . On Fuzzy Interpolation 353Didier Dubois and Henri PradeUniversity Paul Sabatier (France)

3 . A Study on the Spread of Fuzziness in Multi-Fold Multi-Stage Fuzzy Reasoning- Effect of 2-Dimentional Multi-Fold Fuzzy Membership Function Forms - .355

Hiroshi Maeda, Hirokazu Yonekura, Yuji Nobusada and Shuta MurakamiKyushu Institute of Technology (Japan)

4 . Optimal Fuzzy Rules Cover Extrema 3 5 7

Bart KoskoUniversity of Southern California (U.S.A.)

D-4 APPROXIMATE REASONING PART 2

1. A Study on Fuzzy Inference Values with an Input Information Form 359Shinji Hatano, Yukinari Ogawa and Tadashi MurataUniversity of the Ryukyus (Japan)

2 . Fuzzy Approximators: Optimizing a Fuzzy System by Dynamically Tuning theRatio of Firing Strengths 363

Michael H. Smith* and Hideyuki Takagi**•University of California, Berkeley (U.S.A.)••Matsushita Electric Industrial Co., Ltd. (Japan)

3 . Extension of Analogical Reasoning by Fuzzy Logic 365Toshiharu Iwatani, Shun'ichi Tano, Atsushi Inoue and Wataru OkamotoLaboratory for International Fuzzy Engineering Research (Japan)

4 . Ambiguity Caused by Various Situations and the Implication Operation on FuzzyInterval Logic 369

Yutaka Hata, Yasuhiro Lin and Kazuharu YamatoHimeji Institute of Technology (Japan)

D-S FUZZY LOGIC CONTROL PART 1

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1 . Towards Embedded Fuzzy Control of Mobile Robots 373Eddie Tunstel, Ali Asgharzadeh and Mohammad JamshidiUniversity of New Mexico (U.S.A.)

2 . Fuzzy Control of Overhead Crane 375Huiyang Yang*, Yohsuke Kinouchi*, Noboru Sugio**, Tohru Imai**,Shinichiro Tanaka** and Naoaki Nagase**•University of Tokushima (Japan)••Shikoku Instrumentation Co., Ltd. (Japan)

3 . Fuzzy Logic Controller Design for a Two Link Cart Pole System Based onVariable Structure Control 377

Tsu-Tian Lee and Kuo-Yang TuNational Taiwan Institute of Technology (R.O.China)

4 . Improvement of Fuzzy Control Systems by a Weight Function 379Seong-Gon Kong and Jong-Won KimSoongsil University (Korea)

5 . A Kind of Regulation Method for Fuzzy Control Rules 381Nianfeng Geng, Itsuya Muta and Tsutomu HoshinoSaga University (Japan)

D-6 FUZZY LOGIC CONTROL PART 2

1 . Analysis on the Crisp Type Fuzzy Controller 383Wu Zhi Qiao, Masaharu Mizumoto and Kwon Oh ShinOsaka Electro-Communication University (Japan)

2 . Stability Analysis of Indirect Fuzzy Inference Controller using DescribingFunction Method 387

Misako Inokuchi* and Shuta Murakami**•Seinan Jogakuin Junior College (Japan)••Kyushu Institute of Technology (Japan)

3 . A Robust Fuzzy Controller for the Rotor Speed of a Brushless Motor 389G. D'Angelo*, Matteo Lo Presto and G. G. Rizzotto**•Fuzzy Logic R & D Group (Italy)• •S . G. S. - Thomson Microelectronics (Italy)

4 . Dynamical Fuzzy Predictive Control 391Mikio Maeda, Hideo Matsukawa and Shuta MurakamiKyushu Institute of Technology (Japan)

D-7 FUZZY ENGINEERING APPLICATIONS PART 1

1 . Face Recognition System Incorporating Classifier Combination by FuzzyIntegral 393

Thomas D. Arbuckle*, E. Lange*, F. Goudail**, T. Iwamoto*, M.Takahashi*,T. Ishii*, H. Mori*, K. Kyuma* and N. Otsu****Mitsubishi Electric Corporation (Japan)••University de Franche-Comte' (France)***Electrotechnical Laboratory (Japan)

2 . Image Processing Employing Fuzzy Inference 395Shinichi Ooki and Katsufusa ShonoSophia University (Japan)

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3 . Fuzzy One-mean Pyramid Image Coding 399Kwan Fai Cheung and Wing K. ChanThe Hong Kong University of Science & Technology (Hong Kong)

4 . Adaptive Quasi Time-Optimal Fuzzy Logic Position Control 401Victor Donescu*, Adrian Stoica** and Dorin O. Neacsu**Technical University of Iasi (Romania)**Victoria University of Technology (Australia)

D-8 FUZZY ENGINEERING APPLICATIONS PART 2

1. Fuzzy Control Application to Estimate Heat Transfer in a Boiler Heating SurfaceKazuo Sagara and Eri Yoshio 403Choryo Designing Co., Ltd. (Japan)

2 . Semi-Active Dynamic Absorber Using the Fuzzy Theory for a Beam Subjected toa Moving Load 405

Jun'ichi Hino, K. Nanki and T. YoshimuraUniversity of Tokushima (Japan)

3 . Idle Speed Control of Automotive Engine Using Fuzzy Logic 407Jae Ho Chang and Byung Kook KimKorea Advanced Institute of Science and Technology (Korea)

4 . A Fuzzy Logic-Based Control of a Electro-Hydraulic Fin Position Servo SystemSang Yeal Lee, Young Jun Park and Hyung Suck Cho 409Korea Advanced Institute of Science and Technology (Korea)

D-9 FUZZY LOGIC

1. Urysohn-convergence Theory of Nets on Fuzzy Lattices 413Shui-Li ChenJianghan Petroleum Institute (P.R.China)

2 . Hybrid Fuzzy Arithmetic based on Lower Semicontinuous t-Norms 415Mayuka F. Kawaguchi and Tsutomu Da-teHokkaido University (Japan)

3 . Fuzzy Decision Diagrams and Its Application to Design of Fuzzy PLA's 417Koji Takiguchi, Yutaka Hata and Kazuharu YamatoHimeji Institute of Technology (Japan)

4 . Uncertainty Principle Inequality 421Namik KasumovM.E.T.U. (Turkey)

B-l CHAOS AND COMPUTING

1. Search of Associative Memories Based on Feature Matching in Chaotic NeuralNetwork 423

Toshinori Deguchi* and Naohiro Ishii**•Gifu National College of Technology (Japan)••Nagoya Institute of Technology (Japan)

2 . Economic Load Dispatching in Power Systems using a Chaotic Neural NetworkHiroyuki Mori and HideyaTanaka 427Meiji University (Japan)

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3 . An Experiment on Arranging Music by a Chaos Neural Network 429Jun Kawashima and Tomomasa NagashimaMuroran Institute of Technology (Japan)

4 . Music Autocomposition Using Chaotic Dynamics 431Hyung-Jin Kang and Mignon ParkYonsei University (Korea)

E-2 CHAOTIC COMPLEXITY

1. Structural Chaos in Neural Networks 435Wieslaw Sienko and Wieslaw CitkoMarine Academy (Poland)

2 . Approximation of Chaotic behavior by Neural Network and Its BifurcationPhenomena 437

Itaru Nagayama and Norio AkamatsuTokushima University (Japan)

3 . Chaotic Time Series Analysis for Short-Term Power System Lord ForecastingHiroyuki Mori and Shoichi Urano 441Meiji University(Japan)

4 . On A System Analyzing Chaos Internal States by Use of A Computer 443Sachiko Shimada and Katsufusa ShonoSophia University (Japan)

B-3 GENETIC FUZZY-NEURAL NETWORKS SYSTEMS FOR LEARNINGOrganizer: Dr. Takanori Shibata

Mechanical Engineering Laboratory (Japan)

1. A Finding of Knowledge Representation and an Emergence of Collective Actionsof Control Rules with a New Genetic Algorithm (Invited) 447

Takeshi Furuhashi, Ken Nakaoka and Yoshiki UchikawaNagoya University (Japan)

2 . An Analysis of Genetic Algorithms with Population Dynamics (Invited) 449Hiroshi Satoh, Masayuki Yamamura and Shigenobu KobayashiTokyo Institute of Technology (Japan)

3 . Motion Planning for 3D Cutting by a Manipulator with 6 Degrees of Freedom- Optimization by Genetic Algorithm - (Invited) 453

Tamotsu Abe*, Takanori Shibata**, Kazuo Tanie** and Matsuo Nose*•Komatsu Ltd. (Japan)**Mechanical Engineering Laboratory (Japan)

4 . Genetic Algorithms for Building Knowledge Bases in Fuzzy Expert SystemsMkcea Gh. Negoita* and Eugene Roventa** 455*Institute of Microtechnology (Romania)**York University (Canada)

E-4 GENETIC ALGORITHM PART 1

1. A Genetic Algorithm Based Method for Power System Dynamic Stability — 4 5 7Hiroyuki Mori and Taketo AikawaMeiji University (Japan)

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2 . A Study of Nesting Problem by Genetic Algorithm 459Shigeyuki Takahara* and Sadaaki Miyamoto***Kagawa Prefectural Industrial Technology Center (Japan)••University of Tokushima (Japan)

3 . Genetic Algorithms for Fuzzy Measure Identification 461Keon-Myung Lee and Hyung Lee-KwangKorea Advanced Institute of Science and Technology (Korea)

4 . The Genetic Algorithm for Multiobjective 0-1 Programming 465Zhongtuo Wang and Yanfeng SunDalian University of Technology (P.R.China)

E-S GENETIC ALGORITHM PART 2

1. A Study on Fuzzy Classifier System for Knowledge Acquisition of Large ScaleSystems 467

Ken Nakaoka, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

2 . Optimal Capacitor Allocation in Power Distribution Systems Using the ImmuneSystem Theory 469

Hiroyuki Mori and Hiroyuki KanazawaMeiji University (Japan)

3 . A Fuzzy Regression Method Based on Genetic Algorithm 471Lisong Wang, Lei Zhang, Hidenori Itoh and Hirohisa SekiNagoya Institute of Technology (Japan)

4 . Knowledge-based Genetic Algorithms with Fuzzy Fitness 473Claudio Moraga and Erdmuthe Meyer zu BextenUniversity of Dortmund (Germany)

5 . A New Method for Finding Search Strategy for Cooperative Computation ofAutonomous Multi-agents 475

Koji Morikawa, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

B-6 NEURAL COMPUTATION ON CHIPS (INVITED)Organizer: Prof. Fathi M. A. Salam

Michigan State University (U.S.A.)

1. Computational Map of Depth Information by Retinal Dynamics 477Mamoru Tanaka and Mitsuhiko AwataSophia University (Japan)

2 . Template Matching Using Fully Analog VLSI Computation and Digital I/O. . .481Gamze ErtenMichigan State University (U.S.A.)

3. A Design Approach for Analog Neuro/Fuzzy Systems in CMOS DigitalTechnologies 483

F. Vidal-Verdu*, A. Rodriguez-Vdzquez** and B. Linares-Barranco**•Universidad de Malaga (Spain)••Centro Nacional de Microelectr6nica (Spain)

4 . Neural Chips with Learning for Data Compression/Decompression and BlindSeparation of Signals: Real-Time Experiments 485

Fathi M. A. Salam, Shanti S. Vedula, Ammar B. A. Gharbi and Hwa-Joon OhMichigan State University (U.S.A.)

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E-7 CHAOS ENGINEERING PART 2 (INVITED)Organizers: Prof. Kazuyuki Aihara* and Dr. Ryu Katayama**

•University of Tokyo (Japan)**Sanyo Electric Co., Ltd. (Japan)

1. Estimating Correlation Dimension from a Single-Variable Time Series Using aReliable Method 487

Tohru Ikeguchi* and Kazuyuki Aihara**•Science University of Tokyo (Japan)**University of Tokyo (Japan)

2 . A 2-link Nozzle with Chaotic Behavior 489Hiroyoshi Nomura*, Eiichi Naito*, Noboru Wakami*, Shinji Kondo* andKazuyuki Aihara**•Matsushita Electric Industrial Co., Ltd. (Japan)••University of Tokyo (Japan)

3 . Short-term Prediction on Chaotic Timeseries by Local Fuzzy ReconstructionMethod 491

Tadashi Iokibe*, Masayasu Kanke*, Yasunari Fujimoto* and Shingo Suzuki**•Meidensha Corporation (Japan)••Meiden Software Corporation (Japan)

4 . Adaptive Equalizer Using Self Generating Radial Basis Function 493Kaihei Kuwata, Masahide Watanabe and Ryu KatayamaSanyo Electric Co., Ltd. (Japan)

E-8 APPLICATIONS OF CHAOTIC SYSTEMS AND CHAOTIC FUZZYSYSTEMS PART 1 (INVITED)

Organizers: Prof. Horia-Nicolai L. Teodorescu* andProf. Sumitoshi Ogata**•Technical University of Iasi (Romania)••Kyushu Institute of Technology (Japan)

1. Are Indistinguishabilities always coming from Preorders ? 497Enric Trillas*, Adolfo Rodriguez** and Susana Cubillo*•U.P.M. Campus de Montegancedo (Spain)••Universidad de Le6n (Spain)

2. Analysis of A Chaotic Trade Models and Improved Chaotic Fuzzy Trade ModelsHoria-Nicolai L. Teodorescu*, J. Gil Aluja**, M. Wentland-Forte***, 499A.-M. Gil Lafuente**, Ai. P. Tacu**** and A. Brezulianu**Technical University of Iasi (Romania)**University of Barcelona (Spain)***University of Lausanne (Switzerland)****University of Iasi (Romania)

3 . Computation and Reversibility in a Chaotic System Modelled by a TuringMachine. An Application to Contextual Pattern Recognition 501

Antonio L. Perrone* and Gianfranco Basti***II Univ. of Rome "Tor Vergata" (Italy)**Pontifical Gregorian University (Italy)

4 . Principles of Information Coding and Transmission in Chaotic Channels 505Antonio L. Perrone* and Gianfranco Basti***II Univ. of Rome "Tor Vergata" (Italy)**Pontifical Gregorian University (Italy)

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5 . Effect of Noise on Chaotic Behavior in Roessler Type Nonlinear System . . .509Tetsuya Kawata, Takehiko Horita and Sumitoshi OgataKyushu Institute of Technology (Japan)

6 . Estimation of Time Varying Parameters by Using Non-Gaussian Nonlinear StateSpace Modeling 513

Norikazu IkomaThe Graduate University for Advanced Studies (Japan)

E-9 APPLICATIONS OF CHAOTIC SYSTEMS AND CHAOTIC FUZZYSYSTEMS PART 2 (INVITED)

Organizer: Prof. Horia-Nicolai L. TeodorescuTechnical University of Iasi (Romania)

1. Reconstructing Bifurcation Diagrams only from Chaotic Time-Wave Forms .515Shihoko Kajiwara*, Isao Tokuda^, Ryuji Tokunaga* and Takashi Matsumoto***University of Tsukuba (Japan)••Waseda University (Japan)

2 . Chaos in Recognition of Taste 519Kiyoshi Toko, Tetsuya Matsuno and Kaoru YamafujiKyushu University (Japan)

3 . Experiment of Learning and Chaotic Planning of a Mobile Robot 521Jun TaniSony Computer Science Laboratory Inc. (Japan)

4 . Chaos Theory and Accounting 523Enrique L6pez-Gonz£lez, Cristina Mendana-Cuervo and Adolfo Rodriguez- De SotoUniversidad de Le6n (Spain)

F-l RECURRENT NEURAL NETWORKS AND CHAOTIC BEHAVIOR

1. Chaotic Time Series Prediction 525Intaek Kim and Seok-Hee LeeGoldStar Central Research Laboratory (Korea)

2 . Nonlinear One-Dimensional CMOS Mapping Circuit with Digitized InternalStates 527

Junqi Zhu and Katsufusa ShonoSophia University (Japan)

3 . A Novel Chaotic Recurrent Neural Network and Learning Algorithm 531J. K. Ryeu, H. Y. Tak and H.S. ChungKyungpook National University (Korea)

4 . Chaotic Behavior of a Dynamic Neural Network 533D. H. Rao and Madan M. GuptaUniversity of Saskatchewan (Canada)

F-2 NATURAL LANGUAGE

1. CFG-Based One-Stage Dynamic Programming Algorithm for Connected WordRecognition 535

Kenji Kita, Kazuhiko Ashibe and Yoneo YanoTokushima University (Japan)

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2 . Natural Language Speech Recognition Using Finite-State Approximation forContext-Free Grammars 537

Kenji Kita, Kazuhiko Ashibe and Yoneo YanoTokushima University (Japan)

3 . Introducing Semantic Space 539Namik KasumovM.E.T.U. (Turkey)

4 . Multi-dimensional HMM Parameter Estimation Using Self-Organizing FeatureMap for Speech Recognition 541

Dou-Seok Kim*, Soo-Young Lee*, Mun-Sung Han^*, Chong-Hyun Lee**,Jeon-Gue Park** and Sang-Weon Suh*^•Korea Advanced Institute of Science and Technology (Korea)**Korea Institute of Science and Technology (Korea)

F-3 FUZZY HARDWARE AND FUZZY LOGIC COMPUTERS

1. Low Voltage Current-Mode and Voltage-Mode Min and Max Circuit BuildingBlocks for Analog CMOS Fuzzy Processors 543

Jaime Ramirez-Angulo and Ramon Parra-LoeraNew Mexico State University (U.S.A.)

2 . Modular Current-Mode Defuzzification Circuit for Fuzzy Logic ControllersBin-Da Liu, Chun-Yueh Huang and Hsu-Yun Wu 547National Cheng Kung University (R.O.China)

3 . FLEXi : Fuzzy Logic Controller with Expandable Architecture 549Seung-ha Lee, Yun-Jung Lee and Zeungnam BienKorea Advanced Institute of Science and Technology (Korea)

4 . A Programmable Fuzzy Associative Memory 551Mario Reyes de los Mozos*, Takeshi Yamakawa** and Elena Valderrama*•Universitat Autonoma de Barcelona (Spain)**Kyushu Institute of Technology (Japan)

F-4 KNOWLEDGE ACQUISITION AND TOOLS FOR EXPERT SYSTEMSTECHNOLOGY

1. A Systematic Method for Rational Definition of Plant Diagnostic Symptoms bySelf-Organizing Neural Networks 555

Hiroshi Furukawa, Tohru Ueda and Masaharu KitamuraTohoku University (Japan)

2 . A Fast Knowledge Acquisition for Very Large Scale Systems Using FuzzyInference Network 557

Ichiro Hiraga, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

3 . Associative Knowledge-Based System:TRIAS 559Keiji Ozaki and Yoneo YanoUniversity of Tokushima (Japan)

4 . Prolog Extension Based on Another Fuzziness 561Hiroshi SakaiKyushu Institute of Technology (Japan)

F-5 HARDWARE IMPLEMENTATION OF SOFT LOGIC

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Organizer: Dr. Kazuo KyumaMitsubishi Electric Corporation (Japan)

1. A Digital Neural Network Chip Exhibiting Fast Convergence (Invited) 563Yoshikazu Kondo, Yuichi Koshiba, Yutaka Arima,Mitsuhiro Murasaki, Tuyoshi Yamada,Hiroyuki Amishiro, Hakuro Mori and Kazuo KyumaMitsubishi Electric Corporation (Japan)

2 . Analog LSI Implementation of Self-Learning Neural Networks (Invited) 565Takashi Morie*, Osamu Fujita*, Kuniharu Uchimura* and Yoshihito Amemiya***NTT LSI Laboratories (Japan)** Hokkaido University (Japan)

3. A High Performance Fuzzy Inference Processor with Convenient DevelopmentTools (Invited) 567

K. Shimomura, Y. Nitta, N. Sakashita, S. Komori and K. KyumaMitsubishi Electric Corporation (Japan)

4 . A Hardware Model for Brightness Characteristics Extraction 569Akira Tsukada and Kazuo SasakiToyama University (Japan)

5. Information Processing of Neural Network System Composed of "BiochemicalNeuron" 571

Masahiro Okamoto, Satoshi Yoshida, Yoshimitsu Morita, Yukihiro Maki andTatsuya SekiguchiKyushu Institute of Technology (Japan)

F-6 COGNITION

1 . Effect of Input Complexity in an Oscillatory Neural Network- Relation to "Attention" System - 575

Tokiko YamanoueKyushu Institute of Technology (Japan)

2 . An Associative Memory Model of the Hippocampus 579Yukifumi Shigematsu, Shuji Akiyama and Gen MatsumotoElectrotechnical Laboratory (Japan)

3 . Coactive Neural Networks with Adjustable Fuzzy Membership Functions andTheir Applications 581

Eiji Mizutani*, Jyh-Shing R. Jang**, Kenichi Nishio***, Hideyuki Takagi*^* andDavid M. Auslander*•University of California, Berkeley (U.S.A.)**Math Works Inc. (U.S.A.)***Sony Corp. (Japan)••••Matsushita Electric Industrial Co., Ltd. (Japan)

4 . Automatic Ranking of Fuzzy Numbers Based on Neural Networks 583Armando Blanco, Miguel Delgado and Ignacio RequenaUniversidad de Granada (Spain)

F-7 CONTROL WITH SOFT COMPUTING

1 . A Study on Semi-Active Controls for Vehicle Suspension by the FuzzyInference 585

Toshio Yoshimura, Yasuyuki Itoh, Junichi Hino and Kazuo TakaiUniversity of Tokushima (Japan)

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2 . CU-A New Approach to Control Systems 587ShengLi Shi, M. E. C. Hull and D. A. BellUniversity of Ulster (U.K.)

3 . An Embedded Fuzzy Controller for a Video Printer 589Ali Asgharzadeh, Eddie Tunstel and Mohammad JamshidiUniversity of New Mexico (U.S.A.)

4 . Swing-up Control of Double Pendulum Using Genetic Algorithms 591Shigeyasu Kawaji, Ken'ichi Ogasawara and Hidenobu HondaKumamoto University (Japan)

F-8 NEURAL SYMBOLIC PROCESSING (INVITED)Organizer: Prof. Armando F. da Rocha

State University of Campinas (Brazil)

1 . Fuzzy Computational Memories 595Witold Pedrycz*, Armando F. da Rocha ** and Kaoru Hirota**^•University of Manitoba (Canada)••State University of Campinas (Brazil)•••Hosei University (Japan)

2 . A Neurofuzzy Approach to Autonomous Control 597M. De Oliveira, M. Figueiredo and Fernando GomideUNICAMP (Brazil)

3 . Neural Logic and Neural Logic Networks- Towards Future Real World Computing 599

Liya Ding, Hoon Heng Teh, Peizhuang Wang and Ho Chung LuiISS, National University of Singapore (Singapore)

4 . Using Neural Tools in Environmental Data Analysis 601Marcelo Theoto Rocha*, Armando F. da Rocha** and Ivan R. Guilherme**^•USP (Brazil)••State University of Campinas (Brazil)•**UNESP (Brazil)

F-9 HARDWARE IMPLEMENTATION OF CHAOS (INVITED)Organizer: Prof. Katsufusa Shono

Sophia University (Japan)

1 . Experimental Control of Chaos in Yamakawa's Chaotic Chip 603Hiroyuki MurakamiNagasaki University (Japan)

2 . Observation of Dynamics in a CMOS Chaos Generator 605Hajime Takakubo, Kawori Takakubo and Katsufusa ShonoSophia University (Japan)

3 . Basic Digital Application for Josephson Junction Chaotic and AssociatedOscillation Modes 609

Mititada Morisue, Masayuki Yamadaya, Hiroshi Noguchi andAkinori KanasugiSaitama University (Japan)

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4 . Hierarchical Chaotic Transitions among Memory Sequences in a RecurrentNeural Circuit 613

Mutsuo Yamaga^, Peter Davis • and Shigetoshi Nara%%

•ATR Optical and Radio Communications Research Laboratories (Japan)••Okayama University (Japan)

0 - 1 FUZZY MODELING PART 1

1. A Linguistic Study of Complex Systems Using Fuzzy Rules 615Takashi Hasegawa, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

2 . A Parametric Fuzzy Logic Estimation Technique 617Wai Man Tse+ and Kwan Fai Cheung^*HSBC Asset Management and Hong Kong University of Science andTechnology (Hong Kong)

••The Hong Kong University of Science and Technology

3 . Fuzzy Modeling of a Plant with Strong non-Linearity 621Voldi Costa Zambenedetti and Shuta MurakamiKyushu Institute of Technology (Japan)

4 . A Basic Study on Fuzzy Modeling of Very Large Scale System Using GeneticAlgorithm 623

Tomohiro Yoshikawa, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

0-2 FUZZY MODELING PART 2

1. Fuzzy Modelling and Clustering Neural Network 625Rui-Ping Li and Masao MukaidonoMeiji University (Japan)

2 . Fuzzy Modeling for Manufacturing Cell Formation 629Chao-Hsien ChuIowa State University (U.S.A.)

3 . Modeling using Fuzzy Logic and Neural Networks 631Andreas BastianLaboratory for International Fuzzy Engineering Research (Japan)

4 . A Few Remarks on Membership Function in Fuzzy Reliability Analysis 635Takehisa OnisawaUniversity of Tsukuba (Japan)

0 -3 CHAOS ENGINEERING PART 1 (INVITED)Organizers: Prof. Kazuyuki Aihara* and Dr. Ryu Katayama**

•University of Tokyo (Japan)**Sanyo Electric Co., Ltd. (Japan)

1. Dynamics and Computation in Chaotic Neural Networks 637Kazuyuki AiharaUniversity of Tokyo (Japan)

2 . An Analysis of Traveling Salesman Problem with Chaotic Neural NetworksTaiji Yamada^, Kazuyuki Aihara^ and Makoto Kotani^ 639•Tokyo Denki University (Japan)••University of Tokyo (Japan)

x x x i x

3 . Asynchronous Chaotic Neural Networks: Temporal Coding and Delay LinesNatuhiro Ichinose and Kazuyuki Aihara • i jUniversity of Tokyo (Japan)

4 . An Approach for Reducing Spurious Memories Using Globally Coupled MapShin Ishii*, Kenji Fukumizu^ and Sumio Watanabe^ 643•ATR Human Information Processing Research Laboratories (Japan)••Information and Communication R&D Center, Ricoh Co., Ltd. (Japan)

G-4 HARDWARE REALIZATOIN OF FUZZY CONTROLLERS (INVITED)Organizer: Prof. Jose L. Huertas

Universidad de Sevilla (Spain)

1 . Multi-input Voltage and Current-mode Min/Max Circuits 645I. Baturone, A. Barriga and J. L. HuertasUniversidad de Sevilla (Spain)

2 . Digital Implementation of SISC Fuzzy Controllers 647C. J. Jimdnez, A. Barriga and S. Sanchez-SolanoCentro National de Microelectrdnica (Spain)

3 . Current-Mode Singleton Fuzzy Controller 649I. Baturone, S. Sanchez-Solano and J. L. HuertasUniversidad de Sevilla (Spain)

4 . Open Loop Normalization Circuit in Current Mode 651F. Vidal-Verdu+, A. Rodriguez-Vdzquez^ and B. Linares-Barranco^•Universidad de Malaga (Spain)** Centro National de Microelectrdnica (Spain)

DEMONSTRATION SESSION

Demo- l . Chaos Stabilization in A Chaotic Hardwired System 653Takeshi Yamakawa*, Horia-Nicolai L. Teodorescu**, Eiji Uchino*,Tsutomu Miki*, Masayoshi Shimono* and Adrian Brezulianu**•Kyushu Institute of Technology (Japan)••Technical University of Iasi (Romania)

Demo-2. Ciphering System Using Chaos Devices 655Horia-Nicolai L. Teodorescu*, Takeshi Yamakawa^, Eiji Uchino%+,Tsutomu Miki^, Kazuo Higashi^ and Adrian Brezulianu**Technical University of Iasi (Romania)**Kyushu Institute of Technology (Japan)

Demo-3. Pattern Oriented Neuro-Fuzzy Filtering 657Horia-Nicolai L. Teodorescu^, Takeshi Yamakawa^, Eiji Uchino^,Tsutomu Miki^%, Naohiro Inagawa*^, Emil S f ^and Stefan Suceveanu^^•Technical University of Iasi (Romania)••Kyushu Institute of Technology (Japan)•••Polytechnic University (Romania)

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