On global asymptotic stability of recurrent neural networks with time-varying delays
Applied Mathematics and Computation
Dynamics of periodic delayed neural networks
Neural Networks
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The paper studies the nonautonomous delayed recurrent neural networks. By applying Lyapunov functional method and utilizing the technique of inequality analysis, we obtain the sufficient condition to ensure the globally asymptotic stability and globally exponential stability. The results given in this paper are new and useful.