Titlebook: Neural Networks; A Systematic Introdu Raúl Rojas Textbook 1996 Springer-Verlag Berlin Heidelberg 1996 Spline.artificial intelligence.fuzzy

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Associative Networks,nly feed-forward computations. In the case of backpropagation networks we demanded continuity from the activation functions at the nodes. The neighborhood of a vector x in input space is therefore mapped to a neighborhood of the image y of x in output space. It is this property which gives its name

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Stochastic Networks,ization of an energy function, although without guaranteeing global optimality. Once the weights of the edges have been defined, the network shows spontaneous computational properties. Harnessing this spontaneous dynamics for useful computations requires some way of avoiding falling into local minim

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Genetic Algorithms,d for the optimization. Therefore it is worth having a closer look at the efficiency and reliability of different strategies. In the last few years genetic algorithms have attracted considerable attention because they represent a new method of stochastic optimization with some interesting properties

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