| Title:
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NEURAL NETWORKS: COMPUTATIONAL MODELS AND APPLICATIONS
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| By: |
Huajin Tang, Kay Chen Tan, Zhang Yi |
| Format: |
Paperback |
| List price:
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£153.00 |
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| ISBN 10: |
3642088716 |
| ISBN 13: |
9783642088711 |
| Publisher: |
SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG |
| Pub. date: |
22 November, 2010 |
| Edition: |
Softcover reprint of hardcover 1st ed. 2007 |
| Series: |
Studies in Computational Intelligence 53 |
| Pages: |
300 |
| Synopsis: |
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. |
| Illustrations: |
27 Tables, black and white; 103 Illustrations, black and white; XXII, 300 |
| Publication: |
Germany |
| Imprint: |
Springer-Verlag Berlin and Heidelberg GmbH & Co. K |
| Returns: |
Returnable |