Reformulated radial basis function neura
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Mary M. Randolph-Gips; Nicolaos B. Karayiannis
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Article
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2003
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John Wiley and Sons
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English
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This article presents a new family of reformulated radial basis function (RBF) neural networks that employ adjustable weighted norms to measure the distance between the training vectors and the centers of the radial basis functions. The reformulated RBF model introduced in this article incorporates