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Blind Equalization in Neural Networks
book

Blind Equalization in Neural Networks

by Liyi Zhang, Tsinghua University Tsinghua University Press
December 2017
Intermediate to advanced content levelIntermediate to advanced
268 pages
7h 59m
English
De Gruyter

Overview

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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Publisher Resources

ISBN: 9783110449679