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