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Volume 23 Issue 5
May  2001
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Deng Chao, Xiong Fanlun. AN EFFICIENT ON-LIVE LEARNING METHOD FOR RADIAL BASIS FUNCTION NEURAL KETWORKS[J]. Journal of Electronics & Information Technology, 2001, 23(5): 472-478.
Citation: Deng Chao, Xiong Fanlun. AN EFFICIENT ON-LIVE LEARNING METHOD FOR RADIAL BASIS FUNCTION NEURAL KETWORKS[J]. Journal of Electronics & Information Technology, 2001, 23(5): 472-478.

AN EFFICIENT ON-LIVE LEARNING METHOD FOR RADIAL BASIS FUNCTION NEURAL KETWORKS

  • Received Date: 1998-08-12
  • Rev Recd Date: 1999-05-09
  • Publish Date: 2001-05-19
  • This paper proposes an efficient on-line learning method for radial basis function (RBF) neural networks. The proposed learning method not only dynamically allocate the network resource in accordance with the increase of input Information, but also efficiently recycle the redundant resource of the network. During the learning process the parameters of the network can be sequentially adapted. The learning criterion, mechanism of increasing and decreasing resources and the parameter adjustment algorithm are elaborated. Meanwhile both the mapping approximation ability and predication performance of the network are analyzed in details.
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  • R.H.Nielsen,Kolmogorov mapping neural network existence theorem.in Proc.Int.Conf.Neural Networks,1987.3.11-13.[2]T.Piggio,F.Girosi,A theory of networks for approximation and learning.AI Memo.No.1140.AI Lab,Massachusetts Institute of Technology,Cambridge Mass:1989. [3]J.Park,I.W.Sandberg,Universal approximation using radial basis function networks.Neural computation,1991,3(2):246-257.[3]Y.Tan ,Z.Y.He,Arbitrary FIR filter synthesis with neural newwork.Neural Processing Letters,1998,8(1):9-13.[4]A.W.Bruce,et al.Cooperative-competitive genetic evolution of radial basis function centers and widths for time serives prediction.IEEE Trans.on Neural Networks,1996,NN-7(4):869-880.[5]J.Platt,A resonurce-allocating network for function interpolation[J].Neural Computation.1991,3(2):213-225[6]V.Kadirkamanathan,A function estimation approach to sequential learing with neural networks[J].Neural Computation.1993,5(8):954-975[7]Deng Chao,et al.Sequential learning neural networks and its application in agriculture.Proceedings of 1998 IEEE International Joint Conference on Neural Networks(IJCNN98):Alaska,USA:1998,366-370.
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      沈阳化工大学材料科学与工程学院 沈阳 110142

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