Blind Equalization in Neural Networks: Theory, Algorithms and Applications

Liyi Zhang

Published by De Gruyter 2018

Blind Equalization in Neural Networks

Theory, Algorithms and Applications

Liyi Zhang
Together with: Tsinghua University Press

https://doi.org/10.1515/9783110450293

Overview
Contents

About this book

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.

Summarizes blind equalization algorithms in various neural networks.
Illustrates theoretical studies with simulations and examples.
Concise and handy to use.

Author / Editor information

Liyi Zhang, Tianjin University of Commerce, Tianjin, China.

Topics

Frontmatter Publicly Available Download PDF	I
Preface Requires Authentication Unlicensed Licensed Download PDF	V
Contents Publicly Available Download PDF	VII
1. Introduction Requires Authentication Unlicensed Licensed Download PDF	1
2. The Fundamental Theory of Neural Network Blind Equalization Algorithm Requires Authentication Unlicensed Licensed Download PDF	17
3. Research of Blind Equalization Algorithms Based on FFNN Requires Authentication Unlicensed Licensed Download PDF	51
4. Research of Blind Equalization Algorithms Based on the FBNN Requires Authentication Unlicensed Licensed Download PDF	94
5. Research of Blind Equalization Algorithms Based on FNN Requires Authentication Unlicensed Licensed Download PDF	124
6. Blind Equalization Algorithm Based on Evolutionary Neural Network Requires Authentication Unlicensed Licensed Download PDF	149
7. Blind equalization Algorithm Based on Wavelet Neural Network Requires Authentication Unlicensed Licensed Download PDF	180
8. Application of Neural Network Blind Equalization Algorithm in Medical Image Processing Requires Authentication Unlicensed Licensed Download PDF	205
Appendix A: Derivation of the Hidden Layer Weight Iterative Formula in the Blind Equalization Algorithm Based on the Complex Three-Layer FFNN Requires Authentication Unlicensed Licensed Download PDF	229
Appendix B: Iterative Formulas Derivation of Complex Blind Equalization Algorithm Based on BRNN Requires Authentication Unlicensed Licensed Download PDF	231
Appendix C: Types of Fuzzy Membership Function Requires Authentication Unlicensed Licensed Download PDF	235
Appendix D: Iterative Formula Derivation of Blind Equalization Algorithm Based on DRFNN Requires Authentication Unlicensed Licensed Download PDF	239
References Requires Authentication Unlicensed Licensed Download PDF	243
Index Requires Authentication Unlicensed Licensed Download PDF	251

(Deutsch)

Language: English
Publisher: De Gruyter
Audience: Electrical Engineers, Computer Intelligence Researchers, Neural Scientists
Pages
- Front matter: 12
- Main content: 256
Illustrations
- Illustrations: 30
- Tables: 30

eBook

Published: December 18, 2017
ISBN: 9783110450293

Hardcover

Published: December 18, 2017
ISBN: 9783110449624