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Synchronization of Stochastic Memristive Neural Networks with Retarded and Advanced Argument

机译:具有迟钝和高级争论的随机忆内神经网络同步

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摘要

In this paper, we discuss the driving-response synchronization problem for two memristive neural networks with retarded and advanced arguments under the condition of additional noise. The control law is related to the linear time-delay feedback term, and the discontinuous feedback term. Moreover, the random different equation is used to prove the stability of this theory. At the end, the simulation results verify the correctness of the theoretical results.
机译:在本文中,我们讨论了两个具有延迟和高级参数的两个忆阻神经网络的驾驶响应同步问题,在额外噪声的条件下。控制法与线性时间延迟反馈术语和不连续反馈项有关。此外,随机不同的等式用于证明该理论的稳定性。最后,仿真结果验证了理论结果的正确性。

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