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|a UAMI
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|a Zhang, Liyi,
|e author.
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|a Blind equalization in neural networks :
|b theory, algorithms and application /
|c Liyi Zhang, Yunshan Sun, Xiaoqin Zhang, Yu Bai.
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|a Berlin :
|b De Gruyter ;
|a [Beijing] :
|b Tsinghua University Press,
|c [2018]
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|c ©2018
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|a 1 online resource :
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|a Introduction -- The fundamental theory of neural network blind equalization algorithm -- Research of blind equalization algorithms based on FFNN -- Research of blind equalization algorithms based on the FBNN -- Research of blind equalization algorithms based on FNN -- Blind equalization algorithm based on evolutionary neural network -- Blind equalization algorithm based on wavelet neural network -- Application of neural network blind equalization algorithm in medical image processing.
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|a Includes bibliographical references and index.
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|a Online resource; title from digital title page (viewed on March 27, 2018).
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|a 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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|a Neural networks (Computer science)
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|a Neural networks (Neurobiology)
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|a Neural Networks, Computer
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|a Sun, Yunshan,
|e author.
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|a Zhang, Xiaoqin,
|e author.
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|a Bai, Yu,
|e author.
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|i Print version:
|a Zhang, Liyi.
|t Blind equalization in neural networks
|z 3110449625
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