Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/93894
Type: Artigo de evento
Title: Rabnet: A Real-valued Antibody Network For Data Clustering
Author: Knidel H.
De Castro L.N.
Von Zuben F.J.
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.
Editor: 
Rights: fechado
Identifier DOI: 10.1145/1068009.1068068
Address: http://www.scopus.com/inward/record.url?eid=2-s2.0-32544457579&partnerID=40&md5=0d7992a3c4b0463bb3687d711a40361b
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

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