Blind Equalization in Neural Networks
by: Liyi Zhang
Pages: 256 pages
Edition 版本: 1
Language 语言: English
Publisher finelybook 出版社: de Gruyter
Released: 2017-12-18
ISBN-10: 3110449625
ISBN-13: 9783110449624
Book Description
The book begins with an introduction of blind equalization theory and its application in neural networks,then discusses the algorithms in recurrent networks,fuzzy networks and other frequently-studied neural networks. Each algorithm is accompanied by derivation,modeling and simulation,making the book an essential reference for electrical engineers,computer intelligence researchers and neural scientists.
Contents
Chapter 1 Introduction
Chapter 2 The Fundamental Theory Of Neural Network Blind Equalization Algorithm
Chapter 3 Research Of Blind Equalization Algorithms Based On Ffnn
Chapter 4 Research Of Blind Equalization Algorithms Based On The Fbnn
Chapter 5 Research Of Blind Equalization Algorithms Based On Fnn
Chapter 6 Blind Equalization Algorithm Based On Evolutionary Neural Network
Chapter 7 Blind Equalization Algorithm Based On Wavelet Neural Network
Chapter 8 Application Of Neural Network Blind Equalization Algorithm In Medical Image Processing
Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN
Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN
Appendix C: Types of Fuzzy Membership Function
Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN
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