Blind equalization in neural networks :: theory, algorithms and application /

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...

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Bibliographic Details
Main Authors: Zhang, Liyi (Author), Sun, Yunshan (Author), Zhang, Xiaoqin (Author), Bai, Yu (Author)
Format: Electronic eBook
Language:English
Published: Berlin : [Beijing] : De Gruyter ; Tsinghua University Press, [2018]
Subjects:
Online Access:DE-862
DE-863
Summary: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.
Physical Description:1 online resource : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9783110450293
3110450291
9783110449679
3110449676
9783110450309
3110450305
3110449625
9783110449624

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