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Record Nr. |
UNINA9910796608603321 |
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Autore |
Zhang Liyi |
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Titolo |
Blind equalization in neural networks : theory, algorithms and applications / / Liyi Zhang [and three others] |
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Pubbl/distr/stampa |
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Berlin, [Germany] ; ; Boston, [Massachusetts] : , : De Gruyter : , : Tsinghua University Press, , 2018 |
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©2018 |
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ISBN |
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Descrizione fisica |
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1 online resource (268 pages) : illustrations |
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Disciplina |
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Soggetti |
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Neural networks (Computer science) |
Neural networks (Computer science) - Scientific applications |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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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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Sommario/riassunto |
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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 |
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