Global convergence of continuous-time recurrent neural networks with delays

Authors:
Weirui Zhao;Huanshui Zhang
Affiliations:
Shenzhen Graduate School, Harbin Institute of Technology, Xili, Shenzhen, P.R. China;Shenzhen Graduate School, Harbin Institute of Technology, Xili, Shenzhen, P.R. China
Venue:
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Year:
2006

Citing 5
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Abstract

We present new global convergence results of neural networks with delays and show that these results partially generalize recently published convergence results by using the theory of monotone dynamical systems. We also show that under certain conditions, reversing the directions of the coupling between neurons preserves the global convergence of neural networks.