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Blind Equalization in Neural Networks: Theory, Algorithms and Applications

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Blind Equalization in Neural Networks: Theory, Algorithms and Applications - Zhang, Liyi, and Tsinghua University Press (Contributions by)
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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

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Blind Equalization in Neural Networks: Theory, Algorithms and Applications 2017, de Gruyter, Berlin/Boston

ISBN-13: 9783110449624

Hardcover