Non-smooth regularization in radial artificial neural networks

We propose a new approach to the approximation of an arbitrary function by the sum of radial basis functions using non-smooth regularization method combined with a new algorithm in determining the initial approximation which ensures an acceptable quality of approximation uniformly over the data area...

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Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2018-11, Vol.450 (4), p.42010
Main Authors: Krutikov, V N, Kazakovtsev, L A, Kazakovtsev, V L
Format: Article
Language:English
Subjects:
Algorithms
Approximation
Artificial neural networks
Mathematical analysis
Radial basis function
Regularization
Regularization methods
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Summary:We propose a new approach to the approximation of an arbitrary function by the sum of radial basis functions using non-smooth regularization method combined with a new algorithm in determining the initial approximation which ensures an acceptable quality of approximation uniformly over the data area.
ISSN:1757-8981
1757-899X
1757-899X
DOI:10.1088/1757-899X/450/4/042010