| Blind Equalization in Neural Networks: Theory, Algorithms and Applications Contributor(s): Zhang, Liyi (Author), Tsinghua University Press (Contribution by) |
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ISBN: 3110449625 ISBN-13: 9783110449624 Publisher: de Gruyter OUR PRICE: $137.74 Product Type: Hardcover - Other Formats Published: December 2017 |
| Additional Information |
| BISAC Categories: - Computers | Neural Networks - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Signals & Signal Processing |
| Physical Information: 0.63" H x 6.69" W x 9.61" (1.38 lbs) 268 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |