Optimization for the Initial Designed Structure by Localization Using Genetic Algorithm

  • Kim, Seong-Joo (School of Electrical and Electronic Engineering, College of Engineering, Chung Ang University) ;
  • Kim, Yong-Taek (Power Engineering Research Institute at Korea Power Engineering Company) ;
  • Ko, Jae-Yang (Power Engineering Research Institute at Korea Power Engineering Company) ;
  • Jeon, Hong-Tae (School of Electrical and Electronic Engineering, College of Engineering, Chung Ang University)
  • Published : 2002.07.01

Abstract

In this paper, we propose the initial optimized structure of the Radial Basis function Networks that is simple in the part of the structure and fast converges more than neural networks with the analysis method using Time- Frequency Localization. We construct the hidden node with the Radial Basis functions their localization are similar with approximation target function in the plane of the Time and Frequency. We finally make a good decision of the initial structure for function approximation using genetic algorithm

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