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Stability Analysis of Second Order Hopfield Neural Networks with Time Delays

机译:具有时间延迟二阶Hopfield神经网络的稳定性分析

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In this paper, some sufficient conditions of uniform stability and asymptotic stability about second order neural networks with time delays were obtained by the properties of nonnegative matrices and techniques of differential inequalities. In the results, it was assumed that the activation functions satisfy the Lipschitz condition and it was not required that the activation functions were bounded, differentiable and strictly increasing. Moreover, the symmetry of the connection matrix was not also necessary. Thus, we have improved some previous work of other researchers.
机译:在本文中,通过非负面矩阵的性质和差分不平等技术的性质获得了关于二阶神经网络的均匀稳定性和渐近稳定性的一些充分条件。在结果中,假设激活函数满足Lipschitz条件,并且不要求激活功能是有界,可微分和严格增加的。此外,不需要连接矩阵的对称性。因此,我们改善了其他研究人员的一些以前的工作。

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