Abstract
In this paper, employing continuation theorem of the coincidence degree, and inequality technique, some sufficient conditions are derived to ensure global exponential stability and the existence of periodic solution for fuzzy cellular neural networks with time-varying delays. These results have important leading significance in the design and applications of globally stable neural networks. Moreover an example is given to illustrate the effectiveness and feasibility of results obtained.
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