Blind Equalization in Neural Networks
| Author | : Liyi Zhang |
| Publisher | : Walter de Gruyter GmbH & Co KG |
| Total Pages | : 335 |
| Release | : 2017-12-18 |
| ISBN-10 | : 9783110449679 |
| ISBN-13 | : 3110449676 |
| Rating | : 4/5 (676 Downloads) |
Book Synopsis Blind Equalization in Neural Networks by : Liyi Zhang
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.
