On impulsive autoassociative neural networks
Neural Networks
Journal of Computational and Applied Mathematics - Dynamic equations on time scales
Applied Mathematics and Computation
Neural Processing Letters
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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On time scales, by using the continuation theorem of coincidence degree theory, M-matrix theory and constructing some suitable Lyapunov functions, some sufficient conditions are obtained for the existence and exponential stability of periodic solutions of impulsive Cohen---Grossberg neural networks with distributed delays, which are new and complement of previously known results. Finally, an example is given to illustrate the effectiveness of our main results.