Stability Analysis of Diffusion Behaviors in BAM with Time Delay

摘要

In this paper, the affections of diffusion behaviors on the stability of (BAM) neural networks system with time delay is investigated, and some global exponential stability and global asymptotical stability conclusions are obtained by way of the M-matrix and topological degree technique and Lyapunov functional method. Both theoretical results and numerial examples illustrate that the diffusion behaviors in some activity scopes can affect the convergence rates of the BAM system stability to some extent.