Blind Equalization in Neural Networks : : Theory, Algorithms and Applications / / Liyi Zhang.
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...
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Superior document: | Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018 |
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Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2017] ©2018 |
Year of Publication: | 2017 |
Language: | English |
Online Access: | |
Physical Description: | 1 online resource (XII, 256 p.) |
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Other title: | 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 |
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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. |
Format: | Mode of access: Internet via World Wide Web. |
ISBN: | 9783110450293 9783110719550 9783110540550 9783110625264 9783110547757 |
DOI: | 10.1515/9783110450293 |
Access: | restricted access |
Hierarchical level: | Monograph |
Statement of Responsibility: | Liyi Zhang. |