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Synopsis
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.
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About the Author
Liyi Zhang, Tianjin University of Commerce, Tianjin, China.
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Blind Equalization in Neural Networks : Algorithm and Application
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Blind Equalization in Neural Networks - Theory, Algorithms and Applications (eng)
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Blind Equalization in Neural Networks
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Hardback. Condition: New. 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. Seller Inventory # LU-9783110449624
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Blind Equalization in Neural Networks : Algorithm and Application
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Blind Equalization in Neural Networks
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De Gruyter, De Gruyter Dez 2017, 2017
ISBN 10: 3110449625
ISBN 13: 9783110449624
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 268 pp. Englisch. Seller Inventory # 9783110449624
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