Convergence of neutral type SICNNs involving proportional delays and D operators

Abstract In the present study, by employing differential inequality theory, some novel assertions are gained to validate the global exponential convergence on neutral type shunting inhibitory cellular neural networks involving proportional delays and D operators. Moreover, numerical simulations are...

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Main Authors: Renwei Jia, Shuhua Gong
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-018-1830-5
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author Renwei Jia
Shuhua Gong
author_facet Renwei Jia
Shuhua Gong
author_sort Renwei Jia
collection DOAJ
description Abstract In the present study, by employing differential inequality theory, some novel assertions are gained to validate the global exponential convergence on neutral type shunting inhibitory cellular neural networks involving proportional delays and D operators. Moreover, numerical simulations are provided to support the effectiveness of the analytical results.
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spelling doaj.art-b9dfadc440b8489bacb64c3c69b6828d2022-12-22T01:05:08ZengSpringerOpenAdvances in Difference Equations1687-18472018-10-01201811810.1186/s13662-018-1830-5Convergence of neutral type SICNNs involving proportional delays and D operatorsRenwei Jia0Shuhua Gong1College of Mathematics and Computer Science, Hunan University of Arts and ScienceCollege of Mathematics, Physics and Information Engineering, Jiaxing UniversityAbstract In the present study, by employing differential inequality theory, some novel assertions are gained to validate the global exponential convergence on neutral type shunting inhibitory cellular neural networks involving proportional delays and D operators. Moreover, numerical simulations are provided to support the effectiveness of the analytical results.http://link.springer.com/article/10.1186/s13662-018-1830-5Exponential convergenceNeutral type shunting inhibitory cellular neural networkProportional delayD operator
spellingShingle Renwei Jia
Shuhua Gong
Convergence of neutral type SICNNs involving proportional delays and D operators
Advances in Difference Equations
Exponential convergence
Neutral type shunting inhibitory cellular neural network
Proportional delay
D operator
title Convergence of neutral type SICNNs involving proportional delays and D operators
title_full Convergence of neutral type SICNNs involving proportional delays and D operators
title_fullStr Convergence of neutral type SICNNs involving proportional delays and D operators
title_full_unstemmed Convergence of neutral type SICNNs involving proportional delays and D operators
title_short Convergence of neutral type SICNNs involving proportional delays and D operators
title_sort convergence of neutral type sicnns involving proportional delays and d operators
topic Exponential convergence
Neutral type shunting inhibitory cellular neural network
Proportional delay
D operator
url http://link.springer.com/article/10.1186/s13662-018-1830-5
work_keys_str_mv AT renweijia convergenceofneutraltypesicnnsinvolvingproportionaldelaysanddoperators
AT shuhuagong convergenceofneutraltypesicnnsinvolvingproportionaldelaysanddoperators