| STABILITY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS UNDER RANDOM PERTURBATION |
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| 作者姓名： | 廖桂生 焦李成 保铮 |
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| 作者单位： | Institute of Electronic Eng.and Center for Neural Networks Xidian University，Xi'an 710071，Institute of Electronic Eng.and Center for Neural Networks，Xidian University，Xi'an 710071，Institute of Electronic Eng.and Center for Neural Networks，Xidian University，Xi'an 710071 |
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| 基金项目： | Supported by the National Natural Science Foundation of China. |
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| 摘 要： | Based on the theory of stochastic differential equation,the stability of a kind ofcontinuous-time generalized Hopfield neural networks with white noise perturbation is studiedin the paper,and the related stability criteria and design requirements of neural networks areestablished.
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Stability analysis of artificial neural networks under random perturbation |
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| Liao Guisheng,Jiao Licheng,Bao Zheng.STABILITY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS UNDER RANDOM PERTURBATION[J].Journal of Electronics,1992,9(4):321-326. |
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| Authors: | Liao Guisheng Jiao Licheng Bao Zheng |
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| Affiliation: | (1) Institute of Electronic Eng. and Center for Neural Networks, Xidian University, 710071 Xi’an |
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| Abstract: | Based on the theory of stochastic differential equation,the stability of a kind of continuous-time generalized Hopfield neural networks with white noise perturbation is studied in the paper,and the related stability criteria and design requirements of neural networks are established. |
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| Keywords: | Hopfield neural networks Stability analysis Stochastic differential equations Wiener process |
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