vbid/9783709163849

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From the contents: Neural networks � theory and applications: NNs (= neural networks) classifier on continuous data domains� quantum associative memory � a new class of neuron-like discrete filters to image processing � modular NNs for improving generalisation properties � presynaptic inhibition modelling for image processing application � NN recognition system for a curvature primal sketch � NN based nonlinear temporal-spatial noise rejection system � relaxation rate for improving Hopfield network � Oja’s NN and influence of the learning gain on its dynamics Genetic algorithms � theory and applications: transposition: a biological-inspired mechanism to use with GAs (= genetic algorithms) � GA for decision tree induction � optimising decision classifications using GAs � scheduling tasks with intertask communication onto multiprocessors by GAs � design of robust networks with GA � effect of degenerate coding on GAs � multiple traffic signal control using a GA � evolving musical harmonisation � niched-penalty approach for constraint handling in GAs � GA with dynamic population size � GA with dynamic niche clustering for multimodal function optimisation Soft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading � evolutionary programming of near optimal NNsTypham this is the title: Artificial Neural Nets and Genetic Algorithms Proceedings of the International Conference in Portoro?, Slovenia, 1999 1st Edition