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

Softcover

ISBN 10: 3211833641 ISBN 13: 9783211833643

Publisher: Springer, 1999

Synopsis

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

About this title

Synopsis

This work features the following 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).

The contents also include: 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; and, evolutionary programming of near optimal NNs.

Edition details

• Publisher: Springer
• Publication date: 1999
• Language: English
• ISBN 10: 3211833641
• ISBN 13: 9783211833643
• Binding: Paperback
• Number of pages: 362
• Editor: Dobnikar Andrej, Steele Nigel C., Pearson David W., Albrecht Rudolf F.