Neural Networks: Computational Models and Applications
Author | : Huajin Tang |
Publisher | : Springer Science & Business Media |
Total Pages | : 310 |
Release | : 2007-03-12 |
ISBN-10 | : 9783540692256 |
ISBN-13 | : 3540692258 |
Rating | : 4/5 (56 Downloads) |
Download or read book Neural Networks: Computational Models and Applications written by Huajin Tang and published by Springer Science & Business Media. This book was released on 2007-03-12 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.