J4 ›› 2009, Vol. 27 ›› Issue (02): 191-.

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Influencing Element of RBFNs Classification Performance

WANG Xiao-ru   

  1. Department of Computer, Baicheng Normal College,Baicheng 137000,China
  • Online:2009-03-20 Published:2009-07-06

Abstract:

Because the extensive application of RBFN(Radical Basis Function Network) in massage processing and pattern recognition, and to increase the classification precision and efficiency, we studied the influencing of radical basis function network spread and datas normalization. The rule curve of the influencing of radical basis function network spread, data normalization and the classification accuracy is presented, providing a instructional conclusion for the RBFNs apply in pattern recongnition.

Key words: normalization, RBFN,s spread, classification

CLC Number: 

  • TP389.1