Artificial Neural Nets and Genetic Algorithms: Proceedings by Andrej Dobnikar,Nigel C. Steele,David W. Pearson,Rudolf F.

By Andrej Dobnikar,Nigel C. Steele,David W. Pearson,Rudolf F. Albrecht

From the contents:
Neural networks – conception and functions: NNs (= neural networks) classifier on non-stop info domain names– quantum associative reminiscence – a brand new category of neuron-like discrete filters to photograph processing – modular NNs for making improvements to generalisation homes – presynaptic inhibition modelling for photo processing software – NN reputation approach for a curvature primal caricature – NN dependent nonlinear temporal-spatial noise rejection procedure – rest price for making improvements to Hopfield community – Oja's NN and impression of the training achieve on its dynamics
Genetic algorithms – conception and purposes: transposition: a biological-inspired mechanism to exploit with fuel (= genetic algorithms) – GA for determination tree induction – optimising selection classifications utilizing fuel – scheduling projects with intertask verbal exchange onto multiprocessors by way of gasoline – layout of sturdy networks with GA – impression of degenerate coding on gasoline – a number of site visitors sign keep watch over utilizing a GA – evolving musical harmonisation – niched-penalty strategy for constraint dealing with in fuel – GA with dynamic inhabitants measurement – GA with dynamic area of interest clustering for multimodal functionality optimisation
Soft computing and uncertainty: self-adaptation of evolutionary developed determination bushes via details spreading – evolutionary programming of close to optimum NNs

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