Eigen Value and It’s Comparison with Different RBF Methods by Using MATLAB
Neural network is being used in various research areas in recent time. In this paper we have introduced Radial Basis Function (RBF) of neural network for the analysis of Eigen value. Eigen value is the characteristic value of any given system. We have incorporated various radial basis functions such as Gaussian RBF, Multi-Quadratic RBF and Inverse-Multi-Quadratic RBF in matrix for the calculation of Eigen value. Comparative analysis and simulation results show that Gaussian RBF gives better result compared to the other relevant radial basis functions.
KeywordsNeural network Eigen value Radial basis function
The authors are grateful to the anonymous referee for a careful checking of the details and for helpful comments that improve this paper.
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