This paper studies the general decay synchronization (GDS) of a class of recurrent neural networks (RNNs) with general activation functions and mixed time delays. By constructing suitable Lyapunov-Krasovskii functionals and employing useful inequality techniques, some sufficient conditions on the GDS of considered RNNs are established via a type of nonlinear control. In addition, one example with numerical simulations is presented to illustrate the obtained theoretical results.

中文翻译：

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具有混合时滞的递归神经网络的一般衰减同步

本文研究了一类具有通用激活函数和混合时间延迟的递归神经网络（RNN）的通用衰减同步（GDS）。通过构造合适的Lyapunov-Krasovskii泛函并使用有用的不等式技术，通过一种非线性控制，在考虑的RNN的GDS上建立了一些充分条件。另外，给出了一个带有数值模拟的例子来说明所获得的理论结果。