Fuzzy neural network theory and application / Puyin Liu, Hongxing Li.

Format:

Book

Author/Creator:

Liu, Puyin.

Contributor:

Li, Hong-Xing, 1953-

Series:

Series in machine perception and artificial intelligence ; v. 59.

Series in machine perception and artificial intelligence ; v. 59

Language:

English

Subjects (All):

Neural networks (Computer science).

Fuzzy systems.

Physical Description:

1 online resource (395 p.)

Edition:

1st ed.

Place of Publication:

River Edge, NJ : World Scientific, c2004.

Language Note:

English

Summary:

This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. The book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to h

Contents:

Contents ; Foreword ; Preface ; Chapter I Introduction ; S1.1 Classification of fuzzy neural networks ; S1.2 Fuzzy neural networks with fuzzy operators ; S1.3 Puzzified neural networks ; 1.3.1 Learning algorithm for regular FNN's ; 1.3.2 Universal approximation of regular FNN's

S1.4 Fuzzy systems and fuzzy inference networks 1.4.1 Fuzzy systems ; 1.4.2 Fuzzy inference networks ; S1.5 Fuzzy techniques in image restoration ; 1.5.1 Crisp nonlinear filters ; 1.5.2 Fuzzy filters ; S1.6 Notations and preliminaries ; S1.7 Outline of the topics of the chapters

References Chapter II Fuzzy Neural Networks for Storing and Classifying ; S2.1 Two layer max-min fuzzy associative memory ; 2.1.1 FAM with threshold ; 2.1.2 Simulation example ; S2.2 Fuzzy 6-learning algorithm ; 2.2.1 FAM's based on 'V - /\' ; 2.2.2 FAM's based on 'V - *'

S2.3 BP learning algorithm of FAM's 2.3.1 Two analytic functions ; 2.3.2 BP learning algorithm ; S2.4 Fuzzy ART and fuzzy ARTMAP ; 2.4.1 ART1 architecture ; 2.4.2 Fuzzy ART ; 2.4.3 Fuzzy ARTMAP ; 2.4.4 Real examples ; References

Chapter III Fuzzy Associative Memory-Feedback Networks S3.1 Fuzzy Hopfield networks ; 3.1.1 Attractor and attractive basin ; 3.1.2 Learning algorithm based on fault-tolerance ; 3.1.3 Simulation example ; S3.2 Fuzzy Hopfield network with threshold ; 3.2.1 Attractor and stability

3.2.2 Analysis of fault-tolerance

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611934385

9781281934383

1281934380

9789812794215

9812794212

OCLC:

879074229