DocumentCode
3030713
Title
Utilisation of an adaptive resonance theory neural network as a genetic algorithm fitness evaluator
Author
Burton, A.R. ; Vladimirova, T.
Author_Institution
Sch. of Electron. Eng., Inf. Technol. & Math., Surrey Univ., Guildford, UK
fYear
1997
fDate
29 Jun-4 Jul 1997
Firstpage
209
Abstract
A novel method of genetic algorithm fitness evaluation, using adaptive resonance theory (ART) neural networks, is proposed. It is shown that a genetic algorithm can use an ART network to assign fitness measures. An ARTMAP network is proposed to control the cluster creation process. This fitness evaluation method is to be applied to an artificial musical composition system
Keywords
adaptive signal processing; ART neural network architecture; ARTMAP network; adaptive resonance theory neural network; artificial musical composition system; cluster creation process control; genetic algorithm fitness evaluator; Clustering algorithms; Genetic algorithms; Genetic engineering; Information technology; Mathematics; Neural networks; Optimization methods; Resonance; Rhythm; Subspace constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory. 1997. Proceedings., 1997 IEEE International Symposium on
Conference_Location
Ulm
Print_ISBN
0-7803-3956-8
Type
conf
DOI
10.1109/ISIT.1997.613124
Filename
613124
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