<p>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
Blind Equalization in Neural Networks: Theory, Algorithms and Applications
โ Scribed by Liyi Zhang; Yunshan Sun; Xiaoqin Zhang; Yu Bai
- Publisher
- De Gruyter
- Year
- 2018
- Tongue
- English
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
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