Ebook: Blind Equalization in Neural Networks: Theory, Algorithms and Applications

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.

• Summarizes blind equalization algorithms in various neural networks.
• Illustrates theoretical studies with simulations and examples.
• Concise and handy to use.