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Akça, H., Covachev, V., Covacheva, Z. and Mohamad, S. (2009) Global Exponential Periodicity for the Discrete Analogue of an Impulsive Hopfield Neural Network with Finite Distributed Delays. Functional Differential Equations, 16, 53-72.
https://doi.org/10.1142/9789812837332_0058

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.