Abstract
The paper introduces a general class of neural networks with periodic inputs. By constructing a Lyapunov functional and the Halanay-type inequality separately, we obtain easily verifiable sufficient conditions ensuring that every solutions of the delayed neural networks converge exponentially to the unique periodic solutions. The results obtained can be regarded as a generalization to the discrete case of previous results. © Springer-Verlag Berlin Heidelberg 2006.
Cite
CITATION STYLE
Sun, C., & Li, L. (2006). Dynamics of general neural networks with distributed delays. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3971 LNCS, pp. 135–140). Springer Verlag. https://doi.org/10.1007/11759966_20
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