Artificial Neural Nets and Genetic Algorithms: Proceedings of the International Conference in Portoroz, Slovenia, 1999

Dobnikar, Andrej (Editor) / Steele, Nigel C. (Editor) / Pearson, David W. (Editor) / Albrecht, Rudolf F. (Editor)

ISBN 10: 3211833641 / ISBN 13: 9783211833643

Verlag: Springer, 1999

Beschreibung

1st edition. 352 pages. 10.75x8.25x0.75 inches. In Stock.

Bestandsnummer des Verkäufers x-3211833641

Bibliografische Details

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

Über diesen Titel

Inhaltsangabe

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