Sudamani Ramaswamy, A R2017-03-312017-03-312012https://ir.avinuty.ac.in/handle/avu/2483In this paper, together with some Lyapunov functionals and effective mathematical techniques, sufficient conditions are derived to guarantee a class o f stochastic Cohen-Grossberg neural networks with multiple time-varying delays to be globally exponential stability by using linear matrix inequality (LMI) approach. Finally, a numerical example is provided to demonstrate the effectiveness o f the proposed method by using MATLAB LMI toolbox.Global exponential stability for stochastic Cohen-Grossberg neural networks with multiple time-varying delays