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Complex Model Identification Based on RBF Neural Network

  • Yibin Song
  • Peijin Wang
  • Kaili Li
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3174)

Abstract

Based on the principle of Radial Basis Function (RBF) Neural Network, a learning method is presented for the identification of a complex system model. The RBF algorithm is employed on the learning and identifying process of the nonlinear model. The simulation results show that the presented method has good effect on speeding up the learning and approaching process of the nonlinear complex model, and has an excellent performance on learning convergence.

Keywords

RBF Neural Networks learning algorithm model identification 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Yibin Song
    • 1
  • Peijin Wang
    • 1
  • Kaili Li
    • 1
  1. 1.School of ComputerYantai UniversityShandongChina

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