Download or read book Blind Equalization in Neural Networks written by Liyi Zhang and published by Walter de Gruyter GmbH & Co KG. This book was released on 2017-12-18 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.