Título: Iterative Application Of The aiNET Algorithm In The Construction Of A Radial Basis Function Neural Network
Autores: Rautenberg, Sandro; Medeiros, Luciano F. de; Igarashi, Wagner; Gauthier, Fernando O.; Bastos, Rogério C.; Todesco, José L.
Resumo: This paper presents some of the procedures adopted in the construction of a Radial Basis Function Neural Network by iteratively applying the aiNET, an Artificial Immune Systems Algorithm. These procedures have shown to be effective in terms of i) the free determination of centroids inspired by an immune heuristics; and ii) the achievement of appropriate minimal square errors after a number of iterations. Experimental and empirical results are compared aiming at confirming (or not) some hypotheses.
Palavras-chave: Artificial Immune Systems; Radial Basis Function Neural Network; aiNET
Páginas: 8
Código DOI: 10.21528/lmln-vol4-no1-art3
Artigo em PDF: vol4-no1-art3.pdf
Arquivo BibTex: vol4-no1-art3.bib