Evolutionary -Gaussian radial basis func
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Francisco Fernández-Navarro; César Hervás-Martínez; P.A. Gutiérrez; M. Carbonero
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Article
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2011
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Elsevier Science
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English
⚖ 564 KB
This paper proposes a radial basis function neural network (RBFNN), called the q-Gaussian RBFNN, that reproduces different radial basis functions (RBFs) by means of a real parameter q. The architecture, weights and node topology are learnt through a hybrid algorithm (HA). In order to test the overal