STATIONARY SOLUTIONS ANALYSIS OF CELLULAR NEURAL NETWORKS
Yunquan Ke · International Journal of Bifurcation and Chaos · 2006
A class of cellular neural networks, containing the input and output terms, is investigated in this paper. The input and output synaptic weights are taken as the parameter in conjunction with the thresholds, and parameter spaces are constructed from them. Based on geometrical method, the parameter spaces are decomposed into many finite regions, and the value assignment range of stationary solutions is given when system parameters are determined on some regions.