Article citationsMore>>

Wu, A.L. and Zeng, Z.G. (2012) Dynamic Behaviors of Memristor-Based Recurrent Neural Networks with Time-Varying Delays. In: American Mathematical Society, Ed., Graduate Studies in Mathematics, Vol. 36, 1-10.

has been cited by the following article:

• TITLE: Synchronization of Stochastic Memristive Neural Networks with Retarded and Advanced Argument

  AUTHORS: Renxiang Xian

  KEYWORDS: Synchronization, Memristive Neural Networks, Random Disturbance, Time-Delay Feedback, Adaptive Control, Retarded and Advanced System

  JOURNAL NAME: Journal of Intelligent Learning Systems and Applications, Vol.13 No.1, February 26, 2021

  ABSTRACT: 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.