| Neural Networks: Computational Models and Applications 2007 Edition Contributor(s): Tang, Huajin (Author), Tan, Kay Chen (Author), Yi, Zhang (Author) |
|
 |
ISBN: 3540692258 ISBN-13: 9783540692256 Publisher: Springer OUR PRICE: $161.49 Product Type: Hardcover - Other Formats Published: March 2007 |
| Additional Information |
| BISAC Categories: - Mathematics | Applied - Computers | Intelligence (ai) & Semantics |
| Dewey: 006.32 |
| LCCN: 2006939344 |
| Series: Studies in Computational Intelligence |
| Physical Information: 0.7" H x 6.4" W x 9.3" (1.20 lbs) 300 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Neural Networks: Computational Models and Applications presents important theoretical and practical issues in neural networks, including the learning algorithms of feed-forward neural networks, various dynamical properties of recurrent neural networks, winner-take-all networks and their applications in broad manifolds of computational intelligence: pattern recognition, uniform approximation, constrained optimization, NP-hard problems, and image segmentation. The book offers a compact, insightful understanding of the broad and rapidly growing neural networks domain. |