http://cogprints.org/6046/
Iterative Application of the aiNET Algorithm in the Construction of a Radial Basis Function Neural Network
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.
Rautenberg, Sandro
Medeiros, Luciano Frontino de
Igarashi, Wagner
Gauthier, Fernando Ostuni
Bastos, Rogério Cid
Todesco, José Leomar
Artificial Intelligence
Neural Nets
Sandro
Rautenberg
Luciano Frontino de
Medeiros
Wagner
Igarashi
Fernando Ostuni
Gauthier
Rogério Cid
Bastos
José Leomar
Todesco