摘要
本文考虑变系数变时滞的 Hopfield神经网络系统dxidt=- bi( t) xi( t) + ∑nj=1aij( t) fj(λjxj( t-τij( t) ) ) + Ii( t)的全局惭近稳定性 ,获得了一个充分条件。
A Hopfield neural networks with variable delays and variable coefficients dx it=-b i(t)x i(t)+∑nj=1a ij (t)f j(λ jx j(t-τ ij (t))) +I i(t) is studied in this paper. A easily verifiable sufficient condition that guarantee the global attractivity of the Hopfield neural networks is obtained.
出处
《模糊系统与数学》
CSCD
2000年第4期106-109,共4页
Fuzzy Systems and Mathematics
关键词
变系数
变时滞
HOPFIELD神经网络
全局渐近稳定性
Hopfield Neuarl Networks
Global Asymptotic Stability
Variable Delays and Variable Coefficients
