摘要
In this paper, exponential stability of Hopfield-type neural networks with time-varying delays are analyzed. By using the Lyapunov functional method, sufficient conditions are obtained for general exponential stabilities. At the same time, the output functions do not satisfy the Lipschitz conditions and do not require thern to be differential or strictly monotonously increasing. Moreover, all results are established without assuming any symmetry of the connection matrix. A mtmeric example is pressented to show the effective of these criteria.
