Huajin Tang, Kay Chen Tan, Zhang Yi – Neural Networks: Computational Models and Applications
Published: 2007-03-27 | ISBN: 3540692258 | PDF | 322 pages | 5 MB
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.
Download Links: Uploaded