Adaptive training of radial basis function networks using particle swarm optimization algorithm

  • Authors:
  • Hongkai Ding;Yunshi Xiao;Jiguang Yue

  • Affiliations:
  • School of Electric & Information Engineering, Tongji University, ShangHai, China;School of Electric & Information Engineering, Tongji University, ShangHai, China;School of Electric & Information Engineering, Tongji University, ShangHai, China

  • Venue:
  • ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
  • Year:
  • 2005

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Abstract

A novel methodology to determine the optimum number of centers and the network parameters simultaneously based on Particle Swarm Optimization (PSO) algorithm with matrix encoding is proposed in this paper. For tackling structure matching problem, a random structure updating rule is employed for determining the current structure at each epoch. The effectiveness of the method is illustrated through the nonlinear system identification problem.