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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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Finns även som:
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 | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 22 november 2010 |
| ISBN13 | 9783642088711 |
| Utgivare | Springer-Verlag Berlin and Heidelberg Gm |
| Antal sidor | 300 |
| Mått | 156 × 234 × 17 mm · 453 g |
| Språk | Engelska |
Se alt med Huajin Tang ( t.ex. Inbunden Bok och Pocketbok )