Blind equalization in neural networks : theory, algorithms and applications / Liyi Zhang [and three others].

Format:

Book

Author/Creator:

Zhang, Liyi, author.

Language:

English

Subjects (All):

Neural networks (Computer science)--Congresses.

Neural networks (Computer science).

Neural networks (Computer science)--Scientific applications.

Physical Description:

1 online resource (268 pages) : illustrations

Edition:

1st ed.

Place of Publication:

Berlin, [Germany] ; Boston, [Massachusetts] : De Gruyter : Tsinghua University Press, 2018.

Language Note:

In English.

Summary:

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:

Frontmatter

Preface

Contents

1. Introduction

2. The Fundamental Theory of Neural Network Blind Equalization Algorithm

3. Research of Blind Equalization Algorithms Based on FFNN

4. Research of Blind Equalization Algorithms Based on the FBNN

5. Research of Blind Equalization Algorithms Based on FNN

6. Blind Equalization Algorithm Based on Evolutionary Neural Network

7. Blind equalization Algorithm Based on Wavelet Neural Network

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

References

Index

Notes:

Includes bibliographical references and index.

Description based on online resource; title from PDF title page (EBC, viewed February 6, 2018).

ISBN:

9783110449679

3110449676

OCLC:

1020032690