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Eigen Value and It’s Comparison with Different RBF Methods by Using MATLAB

  • Abhisek Paul
  • Paritosh Bhattacharya
  • Santi Prasad Maity
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 298)

Abstract

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.

Keywords

Neural network Eigen value Radial basis function 

Notes

Acknowledgments

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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Copyright information

© Springer India 2014

Authors and Affiliations

  • Abhisek Paul
    • 1
  • Paritosh Bhattacharya
    • 1
  • Santi Prasad Maity
    • 2
  1. 1.Department of Computer Science and EngineeringNational Institute of TechnologyAgartalaIndia
  2. 2.Department of Information TechnologyBengal Engineering and Science UniversityShibpurIndia

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