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Gao, X.Z., Gao, X.M. and Ovaska, S.J. (1996) A Modified Elman Neural Network Model with Application to Dynamical Systems Identification. 1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems, Vol. 2, Beijing, 1396-1381.
https://doi.org/10.1109/ICSMC.1996.571312

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.