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
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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 NNs
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Softcover. Zustand: Bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Slight signs of wear on the cover. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations. Bestandsnummer des Verkäufers D-531-910
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Paperback. Zustand: new. Paperback. 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 dynamicsGenetic 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 Includes such chapters as: 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; and, modular NNs for improving generalisation properties. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Bestandsnummer des Verkäufers 9783211833643
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Taschenbuch. Zustand: 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. Bestandsnummer des Verkäufers 9783211833643
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. 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 dynamicsGenetic 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 NNsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 372 pp. Englisch. Bestandsnummer des Verkäufers 9783211833643
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