Titlebook: Neural Networks; An Introduction Berndt Müller,Joachim Reinhardt,Michael T. Strickl Book 1995Latest edition Springer-Verlag Berlin Heidelbe

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Coupled Neural Networksns. On the other hand, any general “recurrent” neural network can be considered to be represente by a feed-forward perceptron, albeit one with possibly very many layers. The reason for this strange equivalence is that the temporal evolution (3.5) of an arbitrary network constructed from binary neuro

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Neural Networks978-3-642-57760-4Series ISSN 0939-3145

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Associative Memoryutation on a neural network. An information storage device is called an ., if it permits the recall of information on the basis of a partial knowledge of its content, but without knowing its storage location. One also speaks of . memory.

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VLSI and Neural Networksit it for practical and perhaps beneficial purposes, one must face the challenge of performing real-life neural computations. Here several approaches exist and have been widely explored. We enumerate the most important alternatives:

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