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Function approximation from noisy data by an incremental RBF network

โœ Scribed by Menita Carozza; Salvatore Rampone

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
89 KB
Volume
32
Category
Article
ISSN
0031-3203

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An incremental multivariate regression m
An incremental multivariate regression method for function approximation from noisy data
โœ Menita Carozza; Salvatore Rampone ๐Ÿ“‚ Article ๐Ÿ“… 2001 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 193 KB

In this paper we consider the problem of approximating functions from noisy data. We propose an incremental supervised learning algorithm for RBF networks. Hidden Gaussian nodes are added in an iterative manner during the training process. For each new node added, the activation function center and