The booklet starts with an creation of blind equalization concept and its program in neural networks, then discusses the algorithms in recurrent networks, fuzzy networks and different frequently-studied neural networks. each one set of rules is observed through derivation, modeling and simulation, making the booklet a necessary reference for electric engineers, machine intelligence researchers and neural scientists.
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Extra resources for Blind Equalization in Neural Networks: Theory, Algorithms and Applications
Blind Equalization in Neural Networks: Theory, Algorithms and Applications