LOOP ARCHITECTURE NEURAL NETWORK

Zhang Yunjun; Chen Zongzhi

Volume 17 Issue 6

Nov. 1995

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Zhang Yunjun, Chen Zongzhi. LOOP ARCHITECTURE NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1995, 17(6): 638-642.

Citation:

Zhang Yunjun, Chen Zongzhi. LOOP ARCHITECTURE NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1995, 17(6): 638-642.

Zhang Yunjun, Chen Zongzhi. LOOP ARCHITECTURE NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1995, 17(6): 638-642.

Citation:

Zhang Yunjun, Chen Zongzhi. LOOP ARCHITECTURE NEURAL NETWORK[J]. Journal of Electronics & Information Technology, 1995, 17(6): 638-642.

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LOOP ARCHITECTURE NEURAL NETWORK

Zhang Yunjun^{①;陈宗骘},
Chen Zongzhi

Received Date: 1994-06-07
Rev Recd Date: 1994-12-02
Publish Date: 1995-11-19

Abstract

Abstract

This paper provides a new architecture of neural network, called Loop Architecture Neural Network (LANN), and its learning rules. One of its distinguished features from other network, such as Hopfield and bidirectional assiociative memories, is that it can perform the associative memory among multiple categories. Analysis and simulated results have proved that it is an effective network with excellent convergence.

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References(1)

References

Farhat N H, Psaltis P. Prata A, et al[J].Applied Optics.1985, 24(10):1469-1475[2]Hopfield J J.[3]Neurons with graded response have collective computational properities like those of two states neurons. Proceedings of the National Academy of Sciences, USA; 31, May,1984. 3088-3092.[4]Anderson J A. IEEE Trans. on Systems, Man, and Cybernetics, 1983, SMC-13(5): 799-815.[5]Kosko B. Applied Optics, 1981, 26(23): 4974-4979.

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