Artificial Neural Nets and Genetic Algorithms : Proceedings of the International Conference in Portorož, Slovenia, 1999 / by Andrej Dobnikar, Nigel C. Steele, David W. Pearson, Rudolf F. Albrecht.
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 mod...
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Full Text (via Springer) |
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Main Author: | |
Other Authors: | , , |
Format: | eBook |
Language: | English |
Published: |
Vienna :
Springer Vienna,
1999.
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Series: | Springer computer science.
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Subjects: |
Summary: | 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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Physical Description: | 1 online resource (x, 352 pages 293 illustrations) |
ISBN: | 9783709163849 3709163846 |