Neuro-Fuzzy Techniques for Intelligent Information Systems: v. 30 - Rilegato

9783790811872: Neuro-Fuzzy Techniques for Intelligent Information Systems: v. 30

Rilegato

ISBN 10: 3790811874 ISBN 13: 9783790811872

Casa editrice: Physica Verlag, 1999

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This volume comprises selected chapters that cover contemporary issues of the development and the application of neuro-fuzzy techniques. Developing and using neural networks, fuzzy logic systems, genetic algorithms and statistical methods as separate techniques, or in their combination, have been research topics in several areas such as mathematics, engineering, computer science, physics, economics and finance. Here the latest results in the fields are presented from both theoretical and practical point of view. The volume has four main parts. Part one presents generic techniques and theoretical issues while part two, three and four deal with practically oriented models, systems and implementations.

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Contenuti

N. Kasabov, R. Kozma: Preface.- Generic Neuro-Fuzzy and Hybrid Techniques: O. Simula, J. Vesanto, E. Alhoniemi, J. Hollm�n: Anaylsis and Modeling of Complex Systems Using the Self-Organizing Map; V. Cherkassky: Fuzzy Methods for Learning from Data; K. Tachibana, T. Furuhashi: Uneven Allocation of Membership Functions for Fuzzy Modeling of Multi-Input Systems; B. Reusch: Fuzzy Equivalence Relations and Fuzzy Partitions; A. Bastian: Identifying Fuzzy Rule-Based Models Utilizing Neural Networks, Fuzzy Logic and Genetic Algorithms; M. Watts, N. Kasabov: Neuro-Genetic Information Processing for Optimisation and Adaptation in Intelligent Systems; N. Kasabov: Evolving Connectionist and Fuzzy-Connectionist Systems: Theory and Applications for Adaptive, On-line Intelligent Systems.- Neuro-Fuzzy Systems for Pattern Recognition, Image-, Speech- and Language Processing: N.R. Pal: Connectionist Approaches for Feature Analysis; S. Abe: Pattern Classification and Feature Selection by Ellipsoidal Fuzzy Rules; Y.S. Wu, M.S. Zhao: Printed Chinese Optical Character Recognition by Neural Network; H. Szu, C. Hsu: Image Processing by Chaotic Neural Network Fuzzy Membership Functions; E. Uchino, T. Yamakawa: Fuzzy Learning Machine with Application to the Detection of Landmarks for Orthodontic Treatment; N. Kasabov, R. Kozma, R. Kilgour, M. Laws, M. Watts, A. Gray, J. Taylor: Speech Data Analysis and Recognition Using Fuzzy Neural Networks and Self-Organising Maps; D. Kassabova, P. Sallis: Connectionist Methods for Stylometric Analysis: A Hybrid Approach.- Neuro-Fuzzy Systems for Information Retrieval and Socio-Economic Applications: F. Crestani, G. Pasi: Soft Information Retrieval: Applicaitons of Fuzzy Set Theory and Neural Networks; M. Fedrizzi, M. Fedrizzi, R.A. Marques Pereira: Modeling Consensus in Group Decision Making: a Fuzzy Dynamic Approach; M. Negenvitsky: Building Fuzzy Expert Systems; J. Kacprzyk, R.A. Francelin, F.A.C. Gomide: A Neural Network for Fuzzy Dynamic Programming and Its Use in Socio-Economic Regional Development Planning; G.J. Deboeck: Investment Maps for Emerging Markets; P.B. Petrovic, V.R. Milacic: Adaptive Fuzzy-Impedance Controller for Constrained Robot Motion.- Specialised Hardware for Neuro-Fuzzy Intelligent Systems: G. Coghill: Specialised Hardware for Computational Intelligence; J. Torresen: Evolvable Hardware - The Coming Hardware Design Method?