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Sun, W.Z. and Wang, J.S. (2017) Elman Neural Network Soft Sensor Model of Conversion Velocity in Polymerization Process Optimized by Chaos Whale Optimization Algorithm. IEEE Access, 5, 13062-13076.
https://doi.org/10.1109/ACCESS.2017.2723610

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.