9783211833643 - Artificial Neural Nets and Genetic Algorithms: Proceedings Of The International Conference In Portoroz, Slovenia, 1999: Proceedings of the International Conference ... (5 Ergebnisse)

Zustand: New. In.

Zustand: New.

Paperback. Zustand: Brand New. 1st edition. 352 pages. 10.75x8.25x0.75 inches. In Stock.

Taschenbuch. Zustand: 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.

Taschenbuch. Zustand: 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.