Periodic Oscillation for Cohen-Grossberg-Type Bidirectional Associative Memory Neural Networks with Neutral Time-Varying Delays

Authors:
Chuanzhi Bai
Affiliations:
-
Venue:
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 02
Year:
2009

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Cited 2

Global asymptotic stability to a generalized Cohen-Grossberg BAM neural networks of neutral type delays

Neural Networks
Bidirectional associative memories: Different approaches

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Abstract

In this paper, a model describing dynamics of Cohen-Grossberg-type bidirectionalassociativememoryneural networkswith neutral time-varying delays is investigated by using the continuation theorem of Mawhin's coincidence degree theory and the properties of an $M$-matrix. Without assuming the continuous differentiability of time-varying delays, some sufficient conditions on the existence of the periodic solutions are obtained. The result of this paper is new and extent previously known result. Finally, an illustrative example is given to show the effectiveness of the obtained result.