Blind Equalization in Neural Networks : : Theory, Algorithms and Applications / / Liyi Zhang.

• Superior document: Title is part of eBook package: De Gruyter DG Plus eBook-Package 2018
• VerfasserIn: Zhang, Liyi,
• TeilnehmendeR: Tsinghua University Press,.
• Place / Publishing House: Berlin ;, Boston : : De Gruyter, , [2017]; ©2018
• Year of Publication: 2017
• Language: English
• Physical Description: 1 online resource (XII, 256 p.)
• 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
• 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.

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.