Neural Networks: An Introduction by Professor Dr. Berndt Müller, Dr. Joachim Reinhardt, Michael

By Professor Dr. Berndt Müller, Dr. Joachim Reinhardt, Michael T. Strickland (auth.)

Neural Networks The ideas of neural-network versions and methods of parallel disbursed processing are comprehensively offered in a three-step process: - After a short evaluation of the neural constitution of the mind and the historical past of neural-network modeling, the reader is brought to associative reminiscence, preceptrons, feature-sensitive networks, studying suggestions, and useful functions. - the second one half covers extra complicated topics corresponding to the statistical physics of spin glasses, the mean-field conception of the Hopfield version, and the "space of interactions" method of the garage means of neural networks. - within the self-contained ultimate half, seven courses that offer functional demonstrations of neural-network versions and their studying recommendations are mentioned. The software program is incorporated on a three 1/2-inch MS-DOS diskette. The resource code will be transformed utilizing Borland's TURBO-C 2.0 compiler, the Microsoft C compiler (5.0), or appropriate compilers.

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