Neural Networks: Computational Models and Applications Contributor(s): Tang, Huajin (Author), Tan, Kay Chen (Author), Yi, Zhang (Author) |
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ISBN: 3642088716 ISBN-13: 9783642088711 Publisher: Springer OUR PRICE: $161.49 Product Type: Paperback - Other Formats Published: November 2010 |
Additional Information |
BISAC Categories: - Mathematics | Applied - Computers | Intelligence (ai) & Semantics - Technology & Engineering | Engineering (general) |
Dewey: 006.32 |
Series: Studies in Computational Intelligence |
Physical Information: 0.68" H x 6.14" W x 9.21" (1.00 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. |