%0 Journal Article
	%A Miaomiao Yang and  Shouming Zhong
	%D 2014
	%J International Journal of Mathematical and Computational Sciences
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 86, 2014
	%T Improved Stability Criteria for Neural Networks with Two Additive Time-Varying Delays
	%U https://publications.waset.org/pdf/9997847
	%V 86
	%X This paper studies the problem of stability criteria
for neural networks with two additive time-varying delays.A new
Lyapunov-Krasovskii function is constructed and some new delay
dependent stability criterias are derived in the terms of linear
matrix inequalities(LMI), zero equalities and reciprocally convex
approach.The several stability criterion proposed in this paper is
simpler and effective. Finally,numerical examples are provided to
demonstrate the feasibility and effectiveness of our results.

	%P 441 - 444