This is the authors' abstract. We don't add key points for this paper.
Employing fixed point theorem, we make a further investigation of a class of neural networks with delays in this paper. A family of sufficient conditions is given for checking global exponential stability. These results have important leading significance in the design and applications of globally stable neural networks with delays. Our results extend and improve some earlier publications.
Answers are grounded in this paper and cite their sources.
No takes yet. Share an insight, caveat, or question.
Guo et al. (2009) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: