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.
| Publisher Name | de Gruyter |
|---|---|
| Author Name | Hagendorf, Col |
| Format | Audio |
| Bisac Subject Major | COM |
| Language | NG |
| Isbn 10 | 3110449625 |
| Isbn 13 | 9783110449624 |
| Target Age Group | min:NA, max:NA |
| Dimensions | 00.96" H x 10.06" L x 69.00" W |
| Page Count | 268 |
Liyi Zhang, Tianjin University of Commerce, Tianjin, China.
