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This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in such areas as pattern recognition signal processing and control system. Salient Features This Book has been Organized for a one-semester Introductory Course in Neural Networks at the Senior or First Year Graduate Level Each Chapter Material is Presented in Clear and Consistent Manner to Facilitate Readability and Applicability With Ease.  Inclusion of Many Solved Problems to Illustrate Each Topic of Discussion Various Introductory Materials and Chapters on Applied Mathematics are Included