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Gradient-assisted radial basis function networks: theory and applications

✍ Scribed by Ioannis C. Kampolis; Efthymios I. Karangelos; Kyriakos C. Giannakoglou


Publisher
Elsevier Science
Year
2004
Tongue
English
Weight
406 KB
Volume
28
Category
Article
ISSN
0307-904X

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Reformulated radial basis function neura
✍ Mary M. Randolph-Gips; Nicolaos B. Karayiannis πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 201 KB

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