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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
Free Download Blind Equalization in Neural Networks: Theory, Algorithms and Applications
English | 2018 | ISBN: 3110449625 | 268 Pages | PDF (True) | 4 MB
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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