一类激励抑制型时滞神经网络模型解的收敛性

CONVERGENCE OF SOLUTIONS FOR A EXCITE-FRUSTRATED NEURAL NETWORK MODEL

本文考虑一类激励抑制型时滞神经网络模型解的收敛性.利用分析的方法并结合平面系统的几何特性,得出初值=(,φΨ)∈R2,在响应区间[a,b]的端点a和b处不振动时,解(x(t),y(t))→(0,0)(t→+∞).

This paper presents the convergence of solutions for excite-frustrate neural network, we find that every solution with initial value Ф=（P,ψ） in some given fields is converge to the point （0,0）.