Covering the fundamental theory and practical implementation of various neural models, this text provides a coherent exploration and a well structured presentation of the three most important aspects of the neural networks: application, algorithm, and architecture. It offers working knowledge of the various neural models, the fundamental theoretical basis, the potential application domains, and the basic implementation issues. Electrical Engineers, Computer Engineers and Computer Scientists will find this text invaluable.
Intended for engineers and researchers interested in the applications of neural networks to signal and image processing, this book is theoretically based with emphasis on application and implementation. Coverage includes neural networks for representation, unsupervised networks for association/classification, neural networks for generalization/restoration, neural net and conventional optimization techniques, and special purpose supercomputers for neural nets. 7 x 9 1/4.[...]