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In a very recent paper, Zhu et al. [Neural Process Lett (2007)26:191-200] proposed an interesting approach to study pth moment exponential stability of stochastic Cohen-Grossberg neural networks with time-varying delays. Unfortunately, since the constructed Lyapunov function is invalid for p=2k+1, kisinN, the main results obtained are not correct for the general case. This note intends to circumvent these problems by modifying the approach proposed in Zhu et al. [Neural Process Lett (2007) 26:191-200].
Date of Conference: 12-14 Nov. 2008