Neural Networks: Computational Models and Applications (Studies in Computational Intelligence)
Publisher: S/-/-/r; 1 edition | ISBN: 3540692258 | 300 pages | 2007 | PDF | 4.7 Mb
Neural Networks: Computational Models and Applications covers a wealth of 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. By presenting various computational models, this book is developed to provide readers with a quick but insightful understanding of the broad and rapidly growing areas in the neural networks domain.
