Zhang Yongjun, Chen Zongzhi. ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 1996, 18(6): 596-600.
Citation:
Zhang Yongjun, Chen Zongzhi. ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS[J]. Journal of Electronics & Information Technology , 1996, 18(6): 596-600.
Zhang Yongjun, Chen Zongzhi. ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS[J]. Journal of Electronics & Information Technology, 1996, 18(6): 596-600.
Citation:
Zhang Yongjun, Chen Zongzhi. ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS[J]. Journal of Electronics & Information Technology , 1996, 18(6): 596-600.
ANALYSIS AND IMPROVEMENT OF RECURRENT CORRELATION NEURAL NETWORKS
Received Date: 1994-12-08Rev Recd Date:
1995-04-13
Publish Date:
1996-11-19
Abstract
This paper analyzes the relationship between capacity and dynamics in recurrent correlation neural network, and points out that in some conditions the recurrent correlation neural network has high memory capacity. Then this paper presents several methods for improving the performance.
References
McEliece J R. IEEE Trans. on IT, 1987, IT-33(4): 461-482.[2]Chiueh Tzi-Dar. IEEE Trans. on NN，1991, NN-2(2): 275-284.[3]Zhang Yongjun, Chen Zongzhi. Recurrent Correlation Neural Network loop. IJCNN92, Vo1.2 Beijing: 1992, 109-114.
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