%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