一类自变量分段连续的延迟Hopfield型网络分析  

Analysis of Delayed Hopfield-type Neural Networks with Piecewise Constant Argument

作　　者：马鹏飞[1] 刘铭[1] 徐晓峰[1] 

机构地区：[1]东北林业大学,哈尔滨150040

出　　处：《东北林业大学学报》2010年第2期111-114,共4页Journal of Northeast Forestry University

摘　　要：利用变量分段连续的微分方程与其诱导出的离散方程的关系,研究了一类自变量分段连续的Hopfield型神经网络的动力学性质。得到了该模型零解稳定的条件,并对结果进行了数值仿真。Dynamics characters of Hopfield-type neural networks with piecewise constant argument were studied in terms of the relationship between the differential equation with piecewise constant argument and its induced discrete equations.The conditions that ensure the stability of the zero solution were obtained.Numerical simulations are in good agreement with the results.

关 键 词：HOPFIELD神经网络 分段连续 延迟 稳定性 分支 

分 类 号：O175[理学—数学]