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. Editor(s): Dobnikar, Andrej; Steele, N. C.; Pearson, David W. (Ecole pour les Etudes et la Recherche en Informatique, Nimes France); Albrecht, Rudolf F. Num Pages: 352 pages, 70 black & white illustrations, biography. BIC Classification: UYQN. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 280 x 210 x 19. Weight in Grams: 836. . 1999. Softcover reprint of the original 1st ed. 1999. paperback. . . . . Books ship from the US and Ireland.

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Titel: Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Portoro?, Slovenia, 1999
Verlag: Springer
Erscheinungsjahr: 1999
Sprache: Englisch
ISBN-10: 3211833641
ISBN-13: 9783211833643
Einband: Softcover
Zustand: New

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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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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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