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

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Stochastic NeuronsFor this purpose we replace the deterministic evolution law (3.5)for the neural activity by a stochastic law, which does not assign a definite value to ..(. + 1), but only gives the probabilities that ..(. + 1) takes one of the values +1 or -1. We request that the value ..(. + 1) = ±1 will occur wit
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Combinatorial Optimization are optimization problems, where the variables can take only discrete values. An important subclass is formed by the so-called combinatorial optimization problems. Here a . has to be minimized, which depends on the order of a finite number of objects. The number of arrangements of . objects, and th
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