Please use this identifier to cite or link to this item:
|Type:||Artigo de evento|
|Title:||Rabnet: A Real-valued Antibody Network For Data Clustering|
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.|
|Appears in Collections:||Unicamp - Artigos e Outros Documentos|
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