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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Format: | Article |
Language: | English |
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SpringerOpen
2018-10-01
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Series: | Advances in Difference Equations |
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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. |
first_indexed | 2024-12-11T13:33:58Z |
format | Article |
id | doaj.art-b9dfadc440b8489bacb64c3c69b6828d |
institution | Directory Open Access Journal |
issn | 1687-1847 |
language | English |
last_indexed | 2024-12-11T13:33:58Z |
publishDate | 2018-10-01 |
publisher | SpringerOpen |
record_format | Article |
series | Advances in Difference Equations |
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 |