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

Existence of Periodic Solutions for an Output Hidden Feedback Elman Neural Network
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摘要 <div style="text-align:justify;"> <span style="font-family:Verdana;">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.</span> </div> <div style="text-align:justify;"> <span style="font-family:Verdana;">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.</span> </div>
作者 Valéry Covachev Zlatinka Covacheva Valéry Covachev;Zlatinka Covacheva(Institute of Mathematics and Informatics, Bulgarian Academy of Sciences, Sofia, Bulgaria)
出处 《Journal of Software Engineering and Applications》 2020年第12期348-363,共16页 软件工程与应用(英文)
关键词 Elman Neural Network Periodic Input and Output Mawhin’s Continuation Theorem Elman Neural Network Periodic Input and Output Mawhin’s Continuation Theorem
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