ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION

Liao Guisheng; Jiao Lichen; Bao Zheng

Volume 14 Issue 4

Jul. 1992

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Article Navigation > Journal of Electronics & Information Technology > 1992 > 14(4): 416-419

Liao Guisheng, Jiao Lichen, Bao Zheng. ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION[J]. Journal of Electronics & Information Technology, 1992, 14(4): 416-419.

Citation:

Liao Guisheng, Jiao Lichen, Bao Zheng. ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION[J]. Journal of Electronics & Information Technology, 1992, 14(4): 416-419.

Liao Guisheng, Jiao Lichen, Bao Zheng. ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION[J]. Journal of Electronics & Information Technology, 1992, 14(4): 416-419.

Citation:

Liao Guisheng, Jiao Lichen, Bao Zheng. ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION[J]. Journal of Electronics & Information Technology, 1992, 14(4): 416-419.

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ON STABILITY STUDY OF NEURAL NETWORKS WITH RANDOM PERTURBATION

Received Date: 1991-04-01
Rev Recd Date: 1992-03-13
Publish Date: 1992-07-19

Abstract

Abstract

Based on the theory of stochestic differential equation, the stability of a kind of generalized continuous-time Hopfield neural network with white noise perturbation is studied, and the related stability criteria and design requirements of neural networks are established.

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References(1)

References

J. J. Hopfield, Proc. Natl. Acad. Sci. USA, 81 (1984) 3, 3088-3092.[2]A. N. Michel, J.A. Farrell, W. Porod, IEEE Trans, on CAS, CAS-36 (1989)2, 229-243.[3]J. Li, A. N. Michel, W. Porod, IEEE Trans. on CAS, CAS-36(1989)5, 713-731.[4]胡宣达,随机微分方程稳定性理论,南京大学出版社,南京,1986年,第63-135页.

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