STUDY AND IMPLEMENT OF RADIAL BASIS FUNCTION NEURAL NETWORK
  Revised:September 30, 2001         
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KeyWord:Process control,Radial Basis Function(RBF),Nearest Neighbor Clustering Algorithm,MATLAB Programming Language
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Abstract:
      The classification of the artificial neural network is outlined.The structural features of the Radial Basis Function network are discussed in detail.The concrete process of the Nearest Neighbor Clustering Algorithm(NNCA)is given. The NNCA,one of the on line adaptive learning algorithm,can automatically determine the number of hidden units and has been compiled into standard function ZJWNNC by use of the MATLAB programming language.
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