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Zbl 1202.34132
Zhang, Hong; Wang, Wentao; Xiao, Bing
Exponential convergence for high-order recurrent neural networks with a class of general activation functions.
(English)
[J] Appl. Math. Modelling 35, No. 1, 123-129 (2011). ISSN 0307-904X

Summary: We consider high-order recurrent neural networks with a class of general activation functions. By using some mathematical analysis techniques, we establish new results to ensure that all solutions of the networks converge exponentially to zero point.
MSC 2000:
*34K20 Stability theory of functional-differential equations
92C20 Neural biology

Keywords: high-order recurrent neural networks; exponential convergence; delays; general activation functions

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Scientific prize winners of the ICM 2010
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Lie groups, physics and geometry. An introduction for physicists, engineers and chemists.

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