Blind Equalization in Neural Networks is popular PDF and ePub book, written by Liyi Zhang in 2017-12-18, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Blind Equalization in Neural Networks can be Read Online from any device for your convenience.
Blind Equalization in Neural Networks Book PDF 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.
Detail Book of Blind Equalization in Neural Networks PDF
- Author : Liyi Zhang
- Release : 18 December 2017
- Publisher : Walter de Gruyter GmbH & Co KG
- ISBN : 9783110449679
- Genre : Computers
- Total Page : 335 pages
- Language : English
- PDF File Size : 17,9 Mb
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