STABILITY ANALYSIS OF ARTIFICIAL NEURAL NETWORKS UNDER RANDOM PERTURBATION  

作　　者：廖桂生 焦李成 保铮 

机构地区：[1]Institute of Electronic Eng.and Center for Neural Networks,Xidian University,Xi'an 710071

出　　处：《Journal of Electronics(China)》1992年第4期321-326,共6页电子科学学刊（英文版）

基　　金：Supported by the National Natural Science Foundation of China.

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.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.

关 键 词：HOPFIELD NEURAL networks Stability analysis Stochastic differential EQUATIONS WIENER process 

分 类 号：TN01[电子电信—物理电子学]