Comparative Analysis of Radial Basis Functions with SAR Images in Artificial Neural Network

Abhisek Paul,Santi Prasad Maity,Paritosh Bhattacharya

doi:10.1007/978-3-319-11218-3_13

Comparative Analysis of Radial Basis Functions with SAR Images in Artificial Neural Network

Abhisek Paul, Santi Prasad Maity + Show 1 more

https://doi.org/10.1007/978-3-319-11218-3_13

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Publication Date: Jan 1, 2015

Citations: 1

Affiliation: National Institute of Technology Agartala

#Radial Basis Functions #Multi-Quadratic Radial Basis Functions + Show 8 more

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Abstract

Radial Basis Functions (RBFs) is used to optimize many mathematical computations. In this paper we have used Gaussian RBF (GRBF), Multi-Quadratic RBF (MQ-RBF), Inverse-Multi-Quadratic RBF (IMQRBF) and q-Gaussian RBF (q-GRBF) to approximate singular values of SAR (Synthetic Aperture Radar) color images. Simulations, mathematical comparisons show that q-Gaussian RBF gives better approximation with respect to the other RBF methods in Artificial Neural Network.

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