RABNET: a real-valued antibody network for data clustering

Authors:
Helder Knidel;Leandro N. de Castro;Fernando J. Von Zuben
Affiliations:
LBiC/DCA/FEEC/UNICAMP, Campinas/SP, Brazil;Graduate Program in Informatics, Carvalho de Mendonça, Santos/SP, Brazil;LBiC/DCA/FEEC/UNICAMP, Campinas/SP, Brazil
Venue:
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Year:
2005

Citing 5
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Abstract

This paper proposes a novel constructive learning algorithm for a competitive neural network. The proposed algorithm is developed by taking ideas from the immune system and demonstrates robustness in the initial experiments reported here for a benchmark problem. Comparisons with results from the literature are also provided. To automatically segment the resultant neurons at the output, a tool from graph theory was used with promising results. General discussions and avenues for future works are also provided.