<p>The concepts of neural-network models and techniques of parallel distributed processing are comprehensively presented in a three-step approach: - After a brief overview of the neural structure of the brain and the history of neural-network modeling, the reader is introduced to "neural" information processing, i.e. associative memory, perceptrons, feature-sensitive networks, learning strategies, and practical applications. - Part 2 covers more advanced subjects such as spin glasses, the mean-field theory of the Hopfield model, and the space of interactions in neural networks. - The self-contained final part discusses seven programs that provide practical demonstrations of neural-network models and their learning strategies. Ample opportunity is given to improve and modify the source codes. The software is included on a 5 1/4 inch MS DOS diskette and can be run using Borland's TURBO C 2.0 compiler, the Microsoft C compiler (5.0), or compatible compilers.</p>

Neural Networks: An Introduction/With Diskette

Computers & Technology

Reinhardt, J.

Miller, Richard K.

Certification

Springer, Verlag

Recreational Lakes of Arizona

Politics & Social Sciences

Social Sciences

Sunflower Sales

Bidrag (Danish Edition)

History

Europe

BiblioLife

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