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Gao, X., You, D. and Katayama, S. (2012) Seam Tracking Monitoring Based on Adaptive Kalman Filter Embedded Elman Neural Network during High-Power Fiber Laser Welding. IEEE Transactions on Industrial Electronics, 59, 4315-4325.
https://doi.org/10.1109/TIE.2012.2193854

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.