1st edition
Hardback (18 Dec 2017)
Includes delivery to the United States
10+ copies available online - Usually dispatched within 7 days
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.
| ISBN: | 9783110449624 |
| Publisher: | De Gruyter |
| Imprint: | De Gruyter |
| Pub date: | 18 Dec 2017 |
| Edition: | 1st edition |
| Language: | English |
| Number of pages: | 268 |
| Weight: | 632g |
| Height: | 177mm |
| Width: | 251mm |
| Spine width: | 24mm |
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