Article citationsMore>>

Zhang, Z. and Zheng, T. (2018) Global Asymptotic Stability of Periodic Solutions for Delayed Complex-Valued Cohen-Grossberg Neural Networks by Combining Coincidence Degree Theory with LMI Method. Neurocomputing, 289, 220-230.
https://doi.org/10.1016/j.neucom.2018.02.033

has been cited by the following article:

• TITLE: Existence of Periodic Solutions for an Output Hidden Feedback Elman Neural Network

  AUTHORS: Valéry Covachev, Zlatinka Covacheva

  KEYWORDS: Elman Neural Network, Periodic Input and Output, Mawhin’s Continuation Theorem

  JOURNAL NAME: Journal of Software Engineering and Applications, Vol.13 No.12, December 31, 2020

  ABSTRACT: We first recall the sufficient conditions for the existence of a periodic output of a modified Elman neural network with a periodic input found by using Mawhin’s continuation theorem of coincidence degree theory. Using this result, we obtain sufficient conditions for the existence of a periodic output for an output hidden feedback Elman neural network with a periodic input. Examples illustrating these sufficient conditions are given.