Introduction

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

Neural Networks The techniques of neural-network types and methods of parallel dispensed processing are comprehensively provided in a three-step procedure: - After a short evaluation of the neural constitution of the mind and the background of neural-network modeling, the reader is brought to associative reminiscence, preceptrons, feature-sensitive networks, studying ideas, and useful purposes. - the second one half covers extra complicated matters reminiscent of the statistical physics of spin glasses, the mean-field conception of the Hopfield version, and the "space of interactions" method of the garage ability of neural networks. - within the self-contained ultimate half, seven courses that supply sensible demonstrations of neural-network versions and their studying concepts are mentioned. The software program is incorporated on a three 1/2-inch MS-DOS diskette. The resource code should be converted utilizing Borland's TURBO-C 2.0 compiler, the Microsoft C compiler (5.0), or suitable compilers.

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