05295nam 2200697Ia 450 991078211880332120230124182720.01-281-93438-09786611934385981-279-421-2(CKB)1000000000537794(EBL)1679483(OCoLC)879074229(SSID)ssj0000160393(PQKBManifestationID)11154066(PQKBTitleCode)TC0000160393(PQKBWorkID)10183708(PQKB)10226146(MiAaPQ)EBC1679483(WSP)00005493(Au-PeEL)EBL1679483(CaPaEBR)ebr10255510(CaONFJC)MIL193438(EXLCZ)99100000000053779420040907d2004 uy 0engur|n|---|||||txtccrFuzzy neural network theory and application[electronic resource] /Puyin Liu, Hongxing LiRiver Edge, NJ World Scientificc20041 online resource (395 p.)Series in machine perception and artificial intelligence ;v. 59Description based upon print version of record.981-238-786-2 Includes bibliographical references and index.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'sS1.4 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 chaptersReferences 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 ; ReferencesChapter 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 stability3.2.2 Analysis of fault-tolerance 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 hSeries in machine perception and artificial intelligence ;v. 59.Neural networks (Computer science)Fuzzy systemsNeural networks (Computer science)Fuzzy systems.006.3254.72bcl31.10bclLiu Puyin1531933Li Hong-Xing1953-1531934MiAaPQMiAaPQMiAaPQBOOK9910782118803321Fuzzy neural network theory and application3777909UNINA