%0 Journal Article %A Biao Qin and Jin Huang and Jiaojiao Ren and Wei Kang %D 2014 %J International Journal of Mathematical and Computational Sciences %B World Academy of Science, Engineering and Technology %I Open Science Index 92, 2014 %T Passivity Analysis of Stochastic Neural Networks With Multiple Time Delays %U https://publications.waset.org/pdf/9999569 %V 92 %X This paper deals with the problem of passivity analysis for stochastic neural networks with leakage, discrete and distributed delays. By using delay partitioning technique, free weighting matrix method and stochastic analysis technique, several sufficient conditions for the passivity of the addressed neural networks are established in terms of linear matrix inequalities (LMIs), in which both the time-delay and its time derivative can be fully considered. A numerical example is given to show the usefulness and effectiveness of the obtained results. %P 1153 - 1159