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 Nns
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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 Nns
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 optimisationSoft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading - evolutionary programming of near optimal NNs 372 pp. Englisch. N° de réf. du vendeur 9783211833643
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 optimisationSoft computing and uncertainty: self-adaptation of evolutionary constructed decision trees by information spreading - evolutionary programming of near optimal NNs. N° de réf. du vendeur 9783211833643
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Taschenbuch. Etat : Neu. Artificial Neural Nets and Genetic Algorithms | Proceedings of the International Conference in Portoro¿, Slovenia, 1999 | Andrej Dobnikar (u. a.) | Taschenbuch | x | Englisch | 1999 | Springer | EAN 9783211833643 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. N° de réf. du vendeur 105036372
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