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Volume 21 Issue 6
Nov.  1999
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Deng Chao, Xiong Fanlun, Tan Ying, He Zhenya. A SEQUENTIAL LEARNING ALGORITHM OF NEURAL NETWORK AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 1999, 21(6): 752-758.
Citation: Deng Chao, Xiong Fanlun, Tan Ying, He Zhenya. A SEQUENTIAL LEARNING ALGORITHM OF NEURAL NETWORK AND ITS APPLICATION[J]. Journal of Electronics & Information Technology, 1999, 21(6): 752-758.

A SEQUENTIAL LEARNING ALGORITHM OF NEURAL NETWORK AND ITS APPLICATION

  • Received Date: 1998-03-23
  • Rev Recd Date: 1998-11-08
  • Publish Date: 1999-11-19
  • In this paper we propose a sequential learning neural net which consists of the bounded weight adjustment algorithm and structure adaptive adjustment method. This network is characterized of efficiently learning the knowledge of new samples in series. After we present an efficient sequential learning algorithm of this network, we analyze its learning feature and recognition performance in detail. The effectiveness of this network have also been shown by theoretical analyses and a lot of experiments in this paper.
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  • Rao N S V, Protopopescu V, et al. Learning algorithms of feedforward networks based on finite samples[J].IEEE Trans. on Neural Networks.1996, 7(4):926-940[2]Hollis P W, Paulos J J. A neural network learning algorithm tailored for VLSI implementation[J].IEEE Tans. on Neural Networks.1994, 5(3):784-791[3]Rumelhart D E, Hinton G E, et al. Learning internal representation by error propagation. in Parallel Distributed Processing, Cambridge, MA: MIT Press, vol.l, 1986.[4]Carpenter G A, Grossberg S. ART2: Self-organization of stable category recognition codes for[5]analog input pattern. Proceedings of IEEE ICNN87, San Diego: 1987, 727-736.[6]Carpenter G A, Grossberg S, et al. Fuzzy ARTMAP: A neural-network architecture for incre-[7]mental supervised learning of analog multidimensional maps. IEEE Tans[J].on Neural Networks.1992, 3(3):698-713[8]Lim C P, Harrison R F. An incremental adaptive network for on-line supervised learning and probability estimation[J].Neural Networks.1997, 10(5):925-939[9]Lu Y W, Sundararajan N, Saratchandran P. A Sequential learning scheme for function approx-[10]imation using minimal radial basis function neural networks. Neural Computation, 1997, 9(2):[11]1-478.[12]Deng C.[J].Xiong F L, et al. Sequential learning neural net. Proceedings of 1998 IEEE International Joint Conference on Neural Networks (IJCNN98), Alaska, U.S.A: May.1328,1998:-
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