PROCEEDINGS OF THE 2NDINTERNATIONAL CONFERENCE ON

FUZZY LOGIC AND NEURAL NETWORKS

[ IIZUKA '92 ]July. 17-22y. 17-22 0%

vol. 2

SOFT

559Masayoshi Inoue and Akihiro NagayoshiKagoshima Univversity (Japan)

4 . A Chaotic Chip for Analyzing Nonlinear Discrete Dynamical NetworkSystems (Invited) 563

Takeshi Yamakawa, Tsutomu Miki and Eiji UchinoKyushu Institute of Technology (Japan)

1. Basic Tools for Fuzzy Control : Triangular Norms and Conorms (Invited)..567Erich Peter Klement and Peter BauerJohannes Kepler Universitat (Austria)

2 . Mathematical Foundations of Fuzzy Logic (Invited) 571Esko TurunenLappeenranta University of Technology (Finland)

3 . Linguistically Oriented Fuzzy Logic Controller(Invited) 575

Vil6m NovakCzechoslovak Academy of Sciences (Czechoslovakia)

4 . Complements, t-norms, and s-norms in Toll Sets 579Sadaaki MiyamotoUniversity of Tokushima (Japan)

D-2 FUZZIFICATIQN AND UNCERTAINTY MEASURE

1. Average Total Uncertainty : A New Measure and its Properties (Invited)....583Nikhil R. Pal, James C. Bezdek and Rohan HemasinhaUniversity of West Florida (U.S.A.)

2 . Information Based Reasoning in Fuzzy and Dempster-Shafer Theories(Invited) 587

Arthur RamerUniversity of New South Wales (Australia)

3 . Multi-Valued Logic of Uncertainty Derived from Epistemic Modality 593Tetsuya Murai*, Masaki Miyakoshi** and Masaru Shimbo*** Sapporo Medical College (Japan)**Hokkaido University (Japan)

4. Fuzzifications of Complete Lattices and Applications 597Arturo A. L. SangalliChamplain Regional College (Canada)

0-3 FUZZY MEASURES AND APPLICATIONS (INVITDED)Organizer : Michel Grabisch

Thomson-Sintra ASM (France)

1. Application of Fuzzy Measure, Fuzzy Integral and Neural Network to theSystem Which Estimate Taste by Using Industrial Analysis 601

Masanori Matsuda* and Takaharu Kameoka*** Satake Corporation (Japan)**Mie University (Japan)

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2 . Tensor Representation of Utility Functions with Mutual UtilityIndependence 607

Yutaka Matsushita and Hiroshi KatukuraShimizu Corporation (Japan)

3 . Modeling of Indexing in Document Retrieval Based on Doxastic ModalOperators Defined by Fuzzy Measures 613

Tetsuya Murai*, Masaaki Miyakoshi** and Masaru Shimbo*** Sapporo Medical College (Japan)••Hokkaido University (Japan)

4 . Non-additivity of Fuzzy Measures Representing Preferential Dependence...617Yoshiaki Murofushi* and Michio Sugeno*** University of Electro-Communications (Japan)**Tokyo Institute of Technology (Japan)

D-4 GRADUAL RULES AS A TOOL FOR QUALITATIVE MODELING

Organizers : Henri Prade* and Michel Grabisch**• Universite Paul Sabatier (France)**Thomson-Sintra ASM (France)

1. A Method of Gradual Shifts in Interval-Valued Reasoning 621I. B. Turksen* and Y. Tian*** Tokyo Institute of Technology (Japan) and University of Toronto (Canada)**University of Toronto (Canada)

2 . Gradual Rules in a Decision Support System for Foreign Exchange Trading.625

Yasunori Katoh, Hideo Yuize, Minoru Yoneda, Kazuyoshi Takahashi,Shun'ichi Tano.Tatsuo Yagyu, Michel Grabisch and Satoru FukamiLaboratory for International Fuzzy Engineering Research (Japan)

3 . Gradual Rules and the Approximation of Functions 629Didier Dubois*, Michel Grabisch** and Henri Prade** University Paul Sabatier (France)**Thomson-Sintra ASM (France)

D-5 DIFFERENCE ASPECTS OF APPROXIMATE REASONING

Organizer : D. Dutta MajumderIndian Statistical Institute (India)

1. An Alternative Approach to Approximate Reasoning 633Kumar S. Ray and D. Dutta MajumderIndian Statistical Institute (India)

2 . Approximate Reasoning using the Technique of Generalised DisjunctiveSyllogism 637

Swapan Raha* and Kumar S. Ray*** Visva Bharati University (India)••Indian Statistical Institute (India)

3 . Rule Generation and Inferencing with a Layered Fuzzy Neural Network....641Sushmita Mitra and Sankar K. PalIndian Statistical Institute (India)

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4 . Fuzzy Divergence - a New Measure for Image Segmentation 645Dinabandhu Bhandari, Nikhil R. Pal and D. Dutta MajumderIndian Statistical Institute (India)

OTION

1. Cognitive Information and Neural Computing Systems 649Madan M. GuptaUniversity of Saskatchewan (Canada)

2. A Neural Network Model Explaining Subjective Contour 653Koichi Ikuta and Kunihiko FukushimaOsaka University (Japan)

3 . A Computer Model of Walking Cognition on the Cerebral Cortex 657Yoshikazu ImaiKumamoto Junior College (Japan)

©•7 1FUJZZY dLUJSTDMRUNG IPAIRTT II

1. A Comparison of some Methods of Fuzzy Classification on Real Data 659Michel Grabisch and Francois DispotThomson-Sintra ASM (France)

2. A Clustering Method for the Fuzzy Observations 663Mika Sato and Yoshiharu SatoHokkaido University (Japan)

3 . Experimental Study on Optimal Fuzzifying Mesh Feature of Character 667Wang Xiaowen and Reiji HashimotoOkayama University of Science (Japan)

D-8 FUJ&ZY dLUJSTITEMNG IPAIET IH

1. Efficient Fuzzy Partition of Pattern Space for Classification Problems 671Hisao Ishibuchi,Ken Nozaki and Hideo TanakaUniversity of Osaka Prefecture (Japan)

2. Geometric-logical Pattern Classification 675K.Hirota* and W. Pedrycz*** Hosei University (Japan)** University of Manitoba (Canada)

3 . Concept Structure Analysis Applying Fuzzy Graph (Invited) 679Hajime Yamashita*,Kazuo Nishimura**,Yoshihiko Itoh***,Yasuo

Katsumata^** and Ei Tsuda****** Waseda University (Japan)*• Kawamura University (Japan)*** Johsai University (Japan)**•* Meguro SR.High School (Japan)••***Kokugakuin SR.High School (Japan)

D-9 NATURAL LANGUAGE

1. Interactive Human Face Retrieval System Based on Linguistic Expression..683

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Makishi Nakayama, Koji Miyajima, Hiroshi Iwamoto and Toshio NoritaLaboratory for International Fuzzy Engineering Research (Japan)

2 . Parsing Fuzzy Queries 687Dan Cristea* and Hoira-Nicolai Teodorescu*^* University of Iasi (Rumania)•• Polytechnic Institute of Iasi (Rumania)

3 . Spreading Activation Networks for Natural Language Processing 693Todd Law and Hidenori ItohNagoya Institute of Technology (Japan)

4 . A Fuzzy Semantic Network and its Use for Dealing with Incomplete 697Semantic Description

Shin IshiiRicoh Co.Ltd (Japan)

D-10 MAN-MACHINE COMMUNICATION

1. Error Correction of Key-Inputted Instructions Using Fuzzy HammingDistance 701

Hiroyuki Araki and Seiichirou KagueiYokohama National University (Japan)

2 . Using Fuzzy Production System in the Simulation and Gaming foran Intelligent Tutoring System 705

Chea Bun SongNagoya University (Japan)

3 . Fuzzy Rules as a Programming Medium for Children 709John Maeda, Yoshihiko Sakai, Yoshihiko Sawada and Rie KomuroInternational Media Research Foundation (Japan)

4 . An Optical Fuzzy Classifying System for Facial Expressions 717Kazuho TamanoHiroshima Institute of Technology (Japan)

E-l LEARNING ALGORITHM PART I

1. Supervised Learning Using Cauchy Energy Function 721Maqbool Ahmad and Fathi M. A. SalamMichigan State University (U.S.A.)

2 . The Unified Neural Network Theory and Proposal of New Models 725Sumio Watanabe and Kenji FukumizuRICOH Co., Ltd. (Japan)

3 . Novel Fast Training Algorithm for Multi-layer FeedforwardNeural Network 729

Dong-Jo Park, Byung-Eul Jun and Jung-Hoon KimKorea Advanced Institute of Science and Technology (Korea)

4 . Complexity Term to Accelerate the Learning in RecurrentNeural Networks 733

Ryotaro KamimuraTokai University (Japan)

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E-2 LEAERNING ALGOMTHUM PART II

1. An Iterative Learning Control Method using Neural Networks for RobotManipu la to r 739

Zeungnam Bien, Hak-Sung Lee, Dong-Hwan Hwang and Jong-Woon LeeKorea Advanced Institute of Science and Technology (Korea)

2 . Binarization for Multi-layer Bidirectional Associative Memory 743Dong-Gyu Jeong, Ho-Hyun Chun and Soo-Young LeeKorea Advanced Institute of Science and Technology (Korea)

3 . Path-Planning for Multiple Mobile Robots by Genetic Algorithms :Selfish-Planning and Coordinative-Planning (Invited) 747

Takanori Shibata, Toshio Fukuda, Kazuhiro Kosuge and Fumihito AraiNagoya University (Japan)

4 . Extracting Fuzzy Knowledge from Rank Ordered Sample Data via InstanceGeneralization and Connectionistic Computation (Invited) 751

Osamu Katai, Masaaki Ida, Tetsuo Sawaragi and Sosuke IwaiKyoto University (Japan)

B-3 NEURAL NETWORK DESIGN AND EVALUATION PART I

1. A Product-of-norms Neural Network Model with Applications to ImageAssociation 755

Jiansheng Hou and Fathi M. A. SalamMichigan State University (U.S.A)

2. Two Design Strategies of Neural Network for Complex ClassificationProb lems 759

Sung-Bae Cho and Jin H. KimKorea Advanced Institute of Science and Technology (Korea)

3 . Artificial Neural Networks : A Tool for Extrapolative Forecasting 763Anupam das Purkayastha, S. M. George and P. Ram BabuDevi Ahilya University (India)

4. Design and Analysis of PCM Encoder Using T-Model Neural Network 767Okihiko Ishizuka, Zheng Tang, Masakazu Sakai and Hiroki MatsumotoMiyazaki University (Japan)

B-4 NEURAL NETWORK DESIGN AND EVALUATION PART II

1. Temporal Pattern Recognition Model Using Velocity-ControlledDelay-Lines 771

Kouichirou Yamauchi and Kunihiko FukushimaOsaka University (Japan)

2. Elimination of Redundant Connections by Parametric Lateral Inhibitionin Trainable Neural Networks (Invited) 775

Syozo YasuiKyushu Institute of Technology (Japan)

3 . Activation of Connections to Organize Internal Representation inRecurrent Neural Networks 781

Ryotaro Kamimura

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Tokai University (Japan)

4 . Ensemble Organization as a Basis of Reliable Functioningof Neural Networks 789

O. G. ChorayanThe Rostov State University (Russia)

E-5 NEURAL NETS AND DECISION AND OPTIMIZATION PROBLEMS

Organizers : A. Gonzalez and J. L. VerdegayUniversidad de Granada (Spain)

1. R-FN : A Model of Fuzzy Neuron 793Ignacio Requena and Miguel DelgadoUniversidad de Granada (Spain)

2 . Neural Networks to Solve Combinatorial Optimization Problems in DigitalCircuit Testing 797

Julio Ortega, Alberto Prieto, Antonio Lloris and Francisco J.PelayoUniversidad de Granada (Spain)

3 . A Neural Net to Construct Data Base Indices 801M. Theoto^ and A. F. Rocha^** University of Sao Paulo (Brazil)••Research on Natural and Artificial Intelligence (Brazil)

4 . Multiple Attribute Decision Making based on Fuzzy Relationships betweenObjectives 805

Rudolf FelixFuzzy Demonstration Centre Dortmund (Germany)

B-6 NEURAL NETWORK APPLICATIONS PART I (INVITED)Organizer : Norio Baba

Osaka Kyoiku University (Japan)

1. A Structure Reduction of Neural Network with Random Masks and BillMoney Recognition 809

Fumiaki Takeda*, Sigeru Omatu*, Takashi Inoue**, Saizo Onami** andKenichi Konishi*** University of Tokushima (Japan)**Glory Ltd. (Japan)

2 . Applications of Neural Network Models to Iron and Steel MakingProcesses 815

Yoshihisa Otsuka, Kunihiro Hanaoka and Masami KonishiKobe Steel, Ltd. (Japan)

3 . A New Algorithm for Training Neural Networks and Its Applications 819Norio BabaOsaka Kyoiku Unversity (Japan)

4 . Elastic Fuzzy Logic : A Better Fit with Neurocontrol 823Paul J. WerbosNational Science Foundation (U.S.A)

E-7 NEURAL NETWORK APPLICATIONS PART II (INVITED)

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Organizer : Norio BabaOsaka Kyoiku University (Japan)

1. Elicitation of Expert Knowladge by Structural Learning of Neural Networkwith Application to Accelerator Diagnosis 827

M. Kitamura*, H. Furukawa* and I. Abe*** Tohoku University (Japan)••National Laboratory for High Energy Physics (Japan)

2 . Nonlinear Control Using Neural Networks with Mixed Structure 833Hiroshi Kinjo*, Sigeru Omatu*^ and Tetsuhiko Yamamoto*• University of the Ryukyus (Japan)••University of Tokushima (Japan)

3 . Utilization of Stochastic Automation and Genetic Algorithm for NeuralNetwork Design 837

Norio Baba, Masayuki Marume and Ken ItohOsaka Kyoiku University (Japan)

4. A Method for Supporting Decision-Making on Plant Operation based onHuman Reliability Analysis with Fuzzy Integral 841

Takashi Washio^, Hideaki Takahashi^ and Masaharu Kitamura*** Mitsubishi Research Institute, Inc. (Japan)••Tohoku University (Japan)

B-8 NEURAL NETWORK APPLICATIONS PART III

1. Invariant Visual Information Processing Using Higher Order NeuralNetworks 847

Chelol Hoon Park and Lae Jeong ParkKorea Advanced Institute of Science and Technology (Korea)

2. Application of Neural Computing to Aesthetic Design of DamStruc tures 851

Hitoshi Furuta/, Taro Tonegawa^, Hiroyuki Morimoto++ and Eiichi Watanabe+

• Kyoto Unversity (Japan)••Construction Technology Institute (Japan)

3 . A New Approach to Problem Solving by Modular Structured Networks 855Masumi IshikawaKyushu Institute of Technology (Japan)

4. A Neural Network Approach to Manufacturing Cell Formation 859Chao-Hsien Chu and Ling-Feng LiIowa State University (U.S.A.)

B-9 NEURAL NETWORK APPLICATIONS PART IV

1. Isolated Korean Words Recognition Using Partially Connected NeuralNetwork and Contextual Net 863

Hwan Jin Choi and Yang Huan OhKorea Advanced Institute of Science and Technology (Korea)

2 . Modified Differentiation and Nonlinear Function in Motion Detection ofNeural Network 867

Naohiro IshiiNagoya Institute of Technology (Japan)

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3 . A Case Study on a Neural Network for Handwritten CharacterRecognition 871

Kenji Togashi and Takao IchikoYamagata University (Japan)

4 . An Artificial Neural-Net Based Approach to Quadratic Power Load FlowCalculation in Elactric Power Systems 877

Hiroyuki MoriMeiji University (Japan)

B-10 NEURAL NETWORK APPLICATIONS PART V

1. Neural Networks for Direction-of-Arrival Estimation 881Zong-Kai Yang and Wen-Qing ChengHuazhong University of Science and Technology (China)

2 . Electrophotography Process Control Method based on Neural Network andFuzzy Theory 885

Tetsuya Morita^, Mitsuhisa Kanaya^, Tatsuya Inagaki*, Hisao Murayama^ andShinji Kato+** Ricoh Co., Ltd. R&D Center (Japan)** Ricoh Co., Ltd. RP Development Center (Japan)

3 . An Application to Photometric Stereo by Neural Networks 889Yuji Iwahori*, Naohiro Ishii*, Robert J. Woodham**, Masahiro Ozaki*^ andYoshinori Adachi+^+

* Nagoya Institute of Technology (Japan)*• University of British Columbia (Canada)*•• Okazaki Women's Jr. College (Japan)••••Chubu University (Japan)

4 . Pattern Segmentation Using the TIM Neural Network Architecture 893W. Banzhaf and K. KyumaMitsubishi Electric Corp.(Japan)

F-l CHAOTIC COMPLEXITY PART I, II (INVITED)Organizer : Ichiro Tsuda and Hatsuo Hayashi

Kyushu Institute of Technology (Japan)

1. Complex Dynamics in a Realistic Neural Network Model 897Hans LiljenstromRoyal Institute of Technology (Sweden)

2 . Self-Organization and Information Processing in Photorefractive Systems :Optical Machines that Learn on Their Own 901

Dana Z.AndersonUniversity of Colorado (USA)

3 . Constraining Chaos in an Optical Ring Memory Device 905Peter Davis and Tahito AidaATR Optical and Radio Communications Research Laboratories (Japan)

4 . Singular-Continuous Weierstrass-Function Attractors 909Otto E.R6ssler^, Roland Wais^ and Reimara Rossler^* University of Tubingen(Germany)•• University of Hamburg(Germany)

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5. Complexity and Chance in Non-Stationary Chaos - Law of Large Number andLaw of Small Number - 913

Yoji AizawaWaseda University (Japan)

6. Oscillation and Chaos in a Model of the Olfactory Bulb 917P. Erdi, T. Grobler and G.BarnaThe Hungarian Academy of Sciences (Hungary)

7. Statistical Approach for Computing the Largest Lyapunov Exponent 921Gyorgy BarnaKyushu Institute of Technology (Japan) and The Hungarian Academy of Sciences(Hungary)

8. Chaotic Neural Nets, Computability, Undecidability and Fuzzy Sets 925Gianfranco Basti+, Antonio Perrone++ and Eros Pasero^*** Pontifical Gregorian University (Italy)** University of Rome "Tor Vergata" (Italy)***Politecnico di Torino (Italy)

9. Controlled Chaos in the Basal Forebrain 933Walter J. FreemanUniversity of California, Berkeley (U.S.A.)

F-2 Chaos Engineering PART I (INVITED)Organizer : Kazuyuki Aihara

Tokyo Denki University (Japan)

1. Toward "Chaos Engineering" 937Kazuyuki AiharaTokyo Denki University (Japan)

2. "Generalized" Ulam-Li's Approximation to Invariant Density of One-Dimensional Chaos and Its Extension to Approximation to AsymptoticMeasure on Hgnon's Chaotic Attractor 939

Tohru Kohda*, Kenji Murao**, Ryuji Shinji*• Kyushu University (Japan)••Miyazaki University (Japan)

3 . Taste Sensing System and Chaos 943Kiyoshi Toko, Yoshinori Saida, Tetsuya MatsunoKenshi Hayashi, Kaoru YamafujiKyushu University (Japan)

4. Nonlinear Associative Dynamics in A Chaotic Neural Networks 947Masaharu Adachi, Kazuyuki Aihara, Makoto KotaniTokyo Denki University (Japan)

F-3 QIAOS Engineering PART II (INVITED)Organizer : Kazuyuki Aihara

Tokyo Denki University (Japan)

1. Fractal Image Coding Techniques based on IFS 951Ryuji TokunagaTsukuba University (Japan)

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2 . Diversity and Regularity in Chaotic Wandering of Robot 955JunTaniSony Corp. (Japan)

3 . Autonomous Chaotic Oscillations of a Model of Chemically ExcitableM e m b r a n e s 961

Nobuko Fuchikami*, Masayoshi Naito*** Tokyo Metropolitan University (Japan)••Hitachi, Ltd. (Japan)

4 . An Analysis of Electroencephalographic Potentials by Deterministic NonlinearPredict ion 967

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

F-4 CHAOS AND COMPUTING (INVITED)Organizer : Paul J.Werbos

National Science Foundation (U.S.A)

1 . Quantum Theory, Computing and Chaotic Solitons 971Paul J. WerbosNational Science Foundation (U.S.A)

2 . Theoretical and Practical Challenges in Chaos Computing 977Steven C. SuddarthAir Force Office of Scientific Research (U.S.A)

3 . A Neural Network Computer Architecture for Computation with Oscillatoryand Chaotic Attractors 981

Bill Baird* and Frank Eeckman*** University of California, Berkeley (U.S.A)**O Division, LLNL (U.S.A.)

4 . A Modular Hierarchical Approach to Learning 985Pierre BaldiCalifornia Institute of Techinology (U.S.A)

F-5 BIOMEDICAL APPLICATIONS OF FUZZY LOGICAL NEURALNETS PART I

1 . Neural Expert System Using Fuzzy Teaching Input and Its Application toMedical Diagnosis (Invited) 989

Yoichi HayashiIbaraki University (Japan)

2 . A Practical Application of Fuzzy Theory to an Auto-Regulation Systemfor Extra-Corporeal Circulation 995

Toshikazu Tobi* and Jiro Anbe*** Dai-dan Co., Ltd. (Japan)**Teikyo University (Japan)

3 . Medical Diagnosis Using a Parallel Fuzzy Inference Performed by NeuralNetworks 1003

Takumi Ichimura*, Eiichiro Tazaki* and Katsumi Yoshida*** Toin University of Yokohama (Japan)

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•*Keio University (Japan)

4 . A New Rate Regulation Algorithm for Activity Sensing Pacer Usinga Neural Network System

Norihito Kashiwagi*, Toshikazu Tobi*, Hiroshi Nakajima**,Jiro Anbe** and Tadayoshi Akasaka**• Dai-dan Co., Ltd. (Japan)••Teikyo University (Japan)

F-6 BIOMEDICAL APPLICATIONS OF FUZZY LOGICAL NEURALNETS PART II

,1007

1. An Automatic Monitoring and Estimation Tool for the CardiovascularSystem under Ventricular Assistance Using Fuzzy Reasoning (Invited) 1013

Makoto Yoshizawa*, Hiroshi Takeda*^, Makoto Miura++,Tomoyuki Yambe^ and Shin-ichi Nitta^* Toyohashi University of Technology (Japan)••Tohoku University (Japan)

2 . Supporting System for Medical Diagnosis Using Natural Language bya Fuzzy Inference 1017

Seizaburo Arita%, Masaya Yoneda^, Yuusuke Nakamura^,Rou Yamashita^, Tadashi Shibue**** and Yoshimi Hori****** Kawasaki Medical School (Japan)** Kyushu University (Japan)*•• Kanazawa University (Japan)•••• Kagashima University (Japan)•••••Kawasaki University of Medical Welfare (Japan)

3 . Application of Fuzzy Theory to Traditional Chinese Medicine by usingthe Pulse Phenomena 1021

Lee Hsing-Lin%, Yoshinori Adachi^, Shoji Suzuki*** andMasayoshi Umeno**** Kung Shan Institute of Technology (Taiwan)** Chubu University (Japan)•••Nagoya Institute of Technology (Japan)

4 . Analogical Reasoning : A Connectionist Approach in the Cerebral CortexMode 1025

Sandrine Allemand, Francois Blanc, Michel Dufosse" and Elie SanchezInstitut Me'diterrane'en de Technologie (France)

POSTER SESSION

P- l . Stochastic Dynamic Properties of Generalized Layered NeuralNetworks

Yoshitake Yamazaki*, Yoshiko Takayama*,Moyuru Ochiai**, Heiner Muller-Krumbhaar***and Charles P.Enz****• Kyusyu Institute of Technology (Japan)•• Shohoku College (Japan)••• Institut fur Festkorper Forschung (Germany)••••Universite de Geneve (Switzerland)

P-2. Application of Layered Neural Networks to CAD (Computer Aided

.1029

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Design) for Magnetic Devices 1033Yoshitake Yamazaki*, Moyuru Ochiai**, Yoshiko Takayama*,Hisao Ueda* and Ryuichi Kanbe** Kyushu Institute of Technology (Japan)••Shohoku College (Japan)

P-3 . Application of Layered Neural Networks to Phase Analyzer of Laser....1037Yoshitake Yamazaki^, Akira Mikami^, Moyuru Ochiai%%%

and Yoshiko Takayama*,* Kyushu Institute of Technology (Japan)*• Advantest Corporation (Japan)•••Shohoku College (Japan)

P-4. Human Face Recognition by Means of Neural Network 1041Yoshinori Adachi+, Masahiro Ozaki**, Yuji Iwahori***and Naohiro Ishii**** Chubu University (Japan)*• Okazaki Women's Jr. College (Japan)•••Nagoya Institute of Technology (Japan)

P-5. Gas Discrimination Method by Neural Network 1045Ryosuke Konishi, Tohru Aoki and Hisanari KimuraTottori University (Japan)

P-6. The Learning of the Neural Network using Hadamard Transform 1049Hiromu Katayama, Toshifumi Shimomura, Hisamochi Harada andRyosuke KonishiTottori University (Japan)

P-7. A New Type of Fuzzy Neural Network for Linguistic Fuzzy Modeling.. 1053Shin-ichi Horikawa, Takeshi Furuhashi and Yoshiki UchikawaNagoya University (Japan)

P-8. A Decision Making Model Using a Fuzzy Neural Network 1057Tomonori Hashiyama, Takeshi Furuhashiand Yoshiki UchikawaNagoya University (Japan)

P-9. A Study on Fuzzy Modeling of BOF Using a Fuzzy Neural Network 1061Takashi Hasegawa*, Shin-ichi Horikawa*, Takeshi Furuhashi*Yoshiki Uchikawa^, Shigeru Shimamura+%, Toshihisa Yamada++, OkitomoKunitake*^ and Susumu Otsuka++

* Nagoya University(Japan)**Nippon Steel Corporation (Japan)

P-10 Recognition of P-wave, QRS-wave, and T-wave in Electrocardiogramwith Neural Networks 1065

Nobuyuki Motoki and Yukinori SuzukiMuroran Institute of Technology(Japan)

P - l l Recognition of Hand-written Characters with Fuzzy AssociativeM e m o r y 1069

Akira Nozaki, Norio Konno and Yukinori SuzukiMuroran Institute of Technology(Japan)

P-12 Fuzzy Theory in Character Learning CAI System 1073Masahiro Ozaki*, Yoshinori Adachi**, Yujiand Naohiro Ishii***

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• Okazaki Women's Jr. College(Japan)• • Chubu University( Japan)* ••Nagoya Institute of Technology( Japan)

P-13 A Diagnostic Expert System for Ultrasonic Testing Using the FuzzyReasoning 1077

Hiroshi Matsuura*, Toshio Yoshimura* and Akiyoshi Kawahito**• University of Tokushima(Japan)••Miura Institute of Research & Development Japan)

P-14 A New Force Control method Using Fuzzy Control for a WeldingRobot 1081

Kazuo Yamaba^, Isao Ohtaka^ and Takeshi Yamakawa^** Mechanical Engineering Lab. AIST,MITI(Japan)**Kyusyu Institute of Technology(Japan)

P-15 Fuzzy Ising Spin Model 1085Tsuyoshi HoriguchiTohoku University(Japan)

P-16 Sample Valuation by Fuzzy Theory in Cell Analysis 1089Akemi Hayakawa*, Shoji Suzuki** and Yoshinori Adachi**** Nagoya University (Japan)*• Nagoya Institute of Technology (Japan)•••Chubu University (Japan)

P-17 Analysis of Language Influence by Network and Fuzzy Theory 1093Shoji Suzuki*, Akemi Hayakawa**, Yoshinori Adachi***and Hiroshi Tsunekawa****• Nagoya Institute of Technology(Japan)** Nagoya University (Japan)•** Chubu University (Japan)****Medical Laser Laboratory(Japan)

DEMONSTRATION SESSION

Demo-l. Development of the Operator Support System Applying FuzzyAlgorithms for Glass Tube Molding Equipment 1097

Masahiko Hishida*, Terukuni Yokoyama*, Yoshihiro Atsumi*,Motonobu Masui^* and Yasuo Barr*+

• Mitsubishi Atomic Power Industries, Inc. (Japan)••Iwasaki Electric Co., Ltd. (Japan)

Demo-2. Application of Fuzzy Control to a LocalizedCleanroom 1101

Reiji Yamashita^, Shuichi Itoh% and Takeshi Yamakawa*** DAI-DAN Co.,Ltd. (Japan)**Kyushu Institue of Technology (Japan)

Demo-3. Fuzzy Discrete IC Family (ZDIS) for Basic Experiment orLearning of Fuzzy Control 1103

K. Iwashita and Masanari OhApollo Electronics Co., Ltd.(Japan)

Demo-4. Evaluation System of Fuzzy NeuronChip 1105

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M. Oh, M. Itoh and H. ShiramizuApollo Electronics Co., Ltd. (Japan)

Demo-5. A Fuzzy Logic Expert System Shell in Windows Environment 1107K.S. Leung^, Y.Leung^, Danny Cheung^ and H.W. L e e ^• The Chinese University of Hong Kong (Hong Kong)**The GMR High Technology Company Limited (Hong Kong)

1 . A Simple Fuzzy Evaluating System for Knowledge Tests Results 1111Dorin IsocInstitutul Politehnic Cluj Napoca (Romania)

2 . Learning Technologines in Expert Assistant Ficckas -Fuzzy InformationCluster, Choice and Knowledge Acquisition System (Invited) 1115

Leonid Kitainik and Sergei OrlovskiComputing Center of the Russian Academy of Sciences (C.I.S.)

3 . Mainsprings of Cut Technique in Fuzzy Relational Systems 1119Leonid KitainikComputing Center of the Russian Academy of Sciences (C.I.S.)

4 . A DSP based Fuzzy Logic Controller 1123I. del Campo, J. R. Gonzalez de Mendivil, J. R. Garitagoitia and J. M. Tarela••University of the Basque Country (Spain)

5 . The Representation of Fuzzy Knowledge in the Diagnostic Expert SystemShell EDIP 1127

Vladimir Levchenko and Alexander SavinovMoldavian Academy of Sciences (C.I.S.)

6 . Self-Organizing Fuzzy System Application to Adaptive Control 1131Lacramioara Pavel and Mircea ChelaruInstitute for Information Science (Romania)

7 . A Fuzzy Connectionist Approach for a Knowledge Based ImageInterpretation System 1135

El-hadi Zahzah, Jacky Desachy and Mustapha ZenanaUniversity Paul SABATIER (France)

8 . Distributing Errors in Neural Fuzzy Control 1139Patrik Eklund+, Frank Klawonn^ and Detlef Nauck^• Abo Akademi University (Finland)••Technical University of Braunschweig (Germany)

9 . Improved Character Recognition System based on a Neural NetworkIncorporating the Context via Fuzzy Automata 1143

Roberto Reina, Jose" R.Gonzalez de Mendfvil and Jose" R.GaritagoitiaUniversity of The Basque Country (Spain)

10 . A Neural Network Implementation for Fuzzy Systems - Direct Mapping ofCentered Representations for Fuzzy Quantities - 1147

Adrian Stoica^ and Dan Prisacaru^*• Polytechnic Institute of Iasi (Romania)••Sinta SA, Iasi (Romania)

1 1 . Development of Fuzzy Neural Tool for Medical Signal Processing and

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Imaging(Invited) 1151

W.S.GanAcoustical Services Pte Ltd (Singapore)

12. DST: The Language for the Complex Behaviour of Neural Networks asAdapting and Evolving Systems 1155

Shi-Ji Gao and Fred J. CharlwoodCity University, Northampton Square (UK)

13. Development of a Neural Network System for Chinese CharacterRecognition 1159

Daniel S. Yeung^, Fong Hak Shun+ and Kwan Fai Cheung^• Hong Kong Polytechnic (Hong Kong)••Hong Kong University of Science &Technology ( Hong Kong)

14. Synthesizing a Neocognitron Network without Training 1163Daniel S. Yeung^, Hing Yip Chan+ and Kwan Fai Cheung^• Hong Kong Polytechnic (Hong Kong)••Hong Kong University of Science &Technology ( Hong Kong)

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