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