This paper talks about the global synchronization of delayed fractional-order complex valued neural networks (FOCVNNs) with leakage delay. A new fractional differential inequality is proposed, which offers an important tool in the investigation of synchronization about FOCVNNs. Through constructing appropriate Lyapunov function and using the fractional order comparison theory, some new synchronization conditions are established. A numerical example is given to demonstrate the feasibility of the proposed method.

中文翻译：

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具泄漏时滞的延迟分数阶复值神经网络的同步

本文讨论了具有泄漏延迟的延迟分数阶复数值神经网络（FOCVNN）的全局同步。提出了一种新的分数微分不等式，它为研究FOCVNNs的同步提供了重要的工具。通过构造适当的Lyapunov函数并使用分数阶比较理论，建立了一些新的同步条件。数值例子说明了该方法的可行性。