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Neural Computing and Applications
Erschienen in: Neural Computing and Applications 10/2019

02.04.2018 | Original Article

Application of radial basis functions in solving fuzzy integral equations

verfasst von: Sh. S. Asari, M. Amirfakhrian, S. Chakraverty

Erschienen in: Neural Computing and Applications | Ausgabe 10/2019

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Abstract

In the present paper, a numerical method based on radial basis functions (RBFs) is proposed to approximate the solution of fuzzy integral equations. By applying RBF in fuzzy integral equation, a linear system \(\Psi C=G \) is obtained. Then target function would be approximated by defining coefficient vector C. Error estimation of the method has been shown which is based on exponential convergence rates of RBFs. Finally, validity of the method is illustrated by some examples.
Vorheriger Artikel Synchronization of single-degree-of-freedom oscillators via neural network based on fixed-time terminal sliding mode control scheme
Nächster Artikel Feature selection based on correlation deflation

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Metadaten
Titel
Application of radial basis functions in solving fuzzy integral equations
verfasst von
Sh. S. Asari
M. Amirfakhrian
S. Chakraverty
Publikationsdatum
02.04.2018
Verlag
Springer London
Erschienen in
Neural Computing and Applications / Ausgabe 10/2019
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-018-3459-4

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