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Neural Networks: Computational Models and Applications - Studies in Computational Intelligence Huajin Tang 1st Ed. Softcover of Orig. Ed. 2007 edition
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Neural Networks: Computational Models and Applications - Studies in Computational Intelligence
Huajin Tang
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.
300 pages, 103 black & white illustrations, 27 black & white tables, biography
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 22. november 2010 |
| ISBN13 | 9783642088711 |
| Utgivere | Springer-Verlag Berlin and Heidelberg Gm |
| Antall sider | 300 |
| Mål | 156 × 234 × 17 mm · 453 g |
| Språk | Engelsk |