A weak condition for global stability of delayed neural networks

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A weak condition for global stability of delayed neural networks

The classical analysis of asymptotical and exponential stability of neural networks needs assumptions on the existence of a positive Lyapunov function V and on the strict negativity of the function dV=dt, which often come as a result of boundedness or uniformly almost periodicity of the activation f...

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Bibliographic Details
Main Authors:	Luo, R., Xu, Honglei, Wang, W., Sun, Jie, Xu, W.
Format:	Journal Article
Published:	American Institute of Mathematical Sciences (A I M S Press) 2016
Online Access:	http://hdl.handle.net/20.500.11937/40445

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