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

Artificial Neural Nets and Genetic Algorithms Proceedings of the International Conference in Portorož, Slovenia, 1999 / edited 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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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dobnikar, Andrej (Editor), Steele, Nigel C. (Editor), Pearson, David W. (Editor), Albrecht, Rudolf F. (Editor)
Format: eBook
Language:English
Published: Vienna : Springer Vienna : Imprint: Springer, 1999.
Edition:1st ed. 1999.
Series:Springer eBook Collection.
Subjects:
Artificial intelligence.
Computational complexity.
Health informatics.
Operations research.
Decision making.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
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.
Physical Description:X, 352 p. 70 illus. online resource.
ISBN:9783709163849
DOI:10.1007/978-3-7091-6384-9

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