New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays
In this paper,the existence,uniqueness and global attractivity are discussed on almost periodic solution of SICNNs(shunting inhibitory cellular neural networks)with continuously distributed delays.By using the fixed point theorem,differential inequality technique and Lyapunov functional method,givin...
Gespeichert in:
Veröffentlicht in: | Journal of electronic science and technology of China 2008, Vol.6 (1), p.70-74 |
---|---|
1. Verfasser: | |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 74 |
---|---|
container_issue | 1 |
container_start_page | 70 |
container_title | Journal of electronic science and technology of China |
container_volume | 6 |
creator | Jing Liu Pei-Yong Zhu |
description | In this paper,the existence,uniqueness and global attractivity are discussed on almost periodic solution of SICNNs(shunting inhibitory cellular neural networks)with continuously distributed delays.By using the fixed point theorem,differential inequality technique and Lyapunov functional method,giving the new ranges of parameters,several sufficient conditions are obtained to ensure the existence,uniqueness and global attractivity of almost periodic solution.Compared with the previous studies,our methods are more effective for almost periodic solution analysis of SICNNs with continuously distributed delays.Some existing results have been improved and extended.In order to show the effectiveness of the obtained results,an example is given in this paper. |
format | Article |
fullrecord | <record><control><sourceid>wanfang_jour_chong</sourceid><recordid>TN_cdi_wanfang_journals_zgdzkj_e200801016</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>26855662</cqvip_id><wanfj_id>zgdzkj_e200801016</wanfj_id><sourcerecordid>zgdzkj_e200801016</sourcerecordid><originalsourceid>FETCH-LOGICAL-c616-715d7d7a67c25ec354720e8d5ed7c94c757ac87515d52dbbd2e3c23dc0b7e9b03</originalsourceid><addsrcrecordid>eNotjz1rwzAYhD200DTtfxDdOhhk2ZKcMTj9CIS0NNmNLL22lagStSRMQn98XNLphnvujrtJZhnjJGUFK-6Se-8PGDPC8sUs-d3CiL7ARxM8chYtzbfzAX3CoJ3SEu2ciUFPhmvRro82aNuhte11o4MbTqgCY6IRA9pCHISZJIxuOHo06tCjyv0FoovenNBK-zDoJgZQaAVGnPxDctsK4-HxX-fJ_vVlX72nm4-3dbXcpJJlLOUZVVxxwbgkFGROC04wlIqC4nJRSE65kCWnE0aJahpFIJckVxI3HBYNzufJ87V2FLYVtqsPLg52GqzPnTofDzUQjEuc4YxN7NOVlb2z3c_0tm6EPLbaQE1YSSljJL8AujdpFA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays</title><source>Alma/SFX Local Collection</source><creator>Jing Liu Pei-Yong Zhu</creator><creatorcontrib>Jing Liu Pei-Yong Zhu</creatorcontrib><description>In this paper,the existence,uniqueness and global attractivity are discussed on almost periodic solution of SICNNs(shunting inhibitory cellular neural networks)with continuously distributed delays.By using the fixed point theorem,differential inequality technique and Lyapunov functional method,giving the new ranges of parameters,several sufficient conditions are obtained to ensure the existence,uniqueness and global attractivity of almost periodic solution.Compared with the previous studies,our methods are more effective for almost periodic solution analysis of SICNNs with continuously distributed delays.Some existing results have been improved and extended.In order to show the effectiveness of the obtained results,an example is given in this paper.</description><identifier>ISSN: 1672-6464</identifier><language>eng</language><publisher>School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, 610054, China</publisher><subject>抑制作用 ; 神经网络</subject><ispartof>Journal of electronic science and technology of China, 2008, Vol.6 (1), p.70-74</ispartof><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/87980X/87980X.jpg</thumbnail><link.rule.ids>314,776,780,4010</link.rule.ids></links><search><creatorcontrib>Jing Liu Pei-Yong Zhu</creatorcontrib><title>New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays</title><title>Journal of electronic science and technology of China</title><addtitle>Journal of Electronic Science Technology of China</addtitle><description>In this paper,the existence,uniqueness and global attractivity are discussed on almost periodic solution of SICNNs(shunting inhibitory cellular neural networks)with continuously distributed delays.By using the fixed point theorem,differential inequality technique and Lyapunov functional method,giving the new ranges of parameters,several sufficient conditions are obtained to ensure the existence,uniqueness and global attractivity of almost periodic solution.Compared with the previous studies,our methods are more effective for almost periodic solution analysis of SICNNs with continuously distributed delays.Some existing results have been improved and extended.In order to show the effectiveness of the obtained results,an example is given in this paper.</description><subject>抑制作用</subject><subject>神经网络</subject><issn>1672-6464</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNotjz1rwzAYhD200DTtfxDdOhhk2ZKcMTj9CIS0NNmNLL22lagStSRMQn98XNLphnvujrtJZhnjJGUFK-6Se-8PGDPC8sUs-d3CiL7ARxM8chYtzbfzAX3CoJ3SEu2ciUFPhmvRro82aNuhte11o4MbTqgCY6IRA9pCHISZJIxuOHo06tCjyv0FoovenNBK-zDoJgZQaAVGnPxDctsK4-HxX-fJ_vVlX72nm4-3dbXcpJJlLOUZVVxxwbgkFGROC04wlIqC4nJRSE65kCWnE0aJahpFIJckVxI3HBYNzufJ87V2FLYVtqsPLg52GqzPnTofDzUQjEuc4YxN7NOVlb2z3c_0tm6EPLbaQE1YSSljJL8AujdpFA</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>Jing Liu Pei-Yong Zhu</creator><general>School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, 610054, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>2008</creationdate><title>New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays</title><author>Jing Liu Pei-Yong Zhu</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c616-715d7d7a67c25ec354720e8d5ed7c94c757ac87515d52dbbd2e3c23dc0b7e9b03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>抑制作用</topic><topic>神经网络</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jing Liu Pei-Yong Zhu</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Journal of electronic science and technology of China</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jing Liu Pei-Yong Zhu</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays</atitle><jtitle>Journal of electronic science and technology of China</jtitle><addtitle>Journal of Electronic Science Technology of China</addtitle><date>2008</date><risdate>2008</risdate><volume>6</volume><issue>1</issue><spage>70</spage><epage>74</epage><pages>70-74</pages><issn>1672-6464</issn><abstract>In this paper,the existence,uniqueness and global attractivity are discussed on almost periodic solution of SICNNs(shunting inhibitory cellular neural networks)with continuously distributed delays.By using the fixed point theorem,differential inequality technique and Lyapunov functional method,giving the new ranges of parameters,several sufficient conditions are obtained to ensure the existence,uniqueness and global attractivity of almost periodic solution.Compared with the previous studies,our methods are more effective for almost periodic solution analysis of SICNNs with continuously distributed delays.Some existing results have been improved and extended.In order to show the effectiveness of the obtained results,an example is given in this paper.</abstract><pub>School of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu, 610054, China</pub><tpages>5</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1672-6464 |
ispartof | Journal of electronic science and technology of China, 2008, Vol.6 (1), p.70-74 |
issn | 1672-6464 |
language | eng |
recordid | cdi_wanfang_journals_zgdzkj_e200801016 |
source | Alma/SFX Local Collection |
subjects | 抑制作用 神经网络 |
title | New Results on Almost Periodic Solution of Shunting Inhibitory Cellular Neural Networks with Continuously Distributed Delays |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-01T03%3A54%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_chong&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=New%20Results%20on%20Almost%20Periodic%20Solution%20of%20Shunting%20Inhibitory%20Cellular%20Neural%20Networks%20with%20Continuously%20Distributed%20Delays&rft.jtitle=Journal%20of%20electronic%20science%20and%20technology%20of%20China&rft.au=Jing%20Liu%20Pei-Yong%20Zhu&rft.date=2008&rft.volume=6&rft.issue=1&rft.spage=70&rft.epage=74&rft.pages=70-74&rft.issn=1672-6464&rft_id=info:doi/&rft_dat=%3Cwanfang_jour_chong%3Ezgdzkj_e200801016%3C/wanfang_jour_chong%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_cqvip_id=26855662&rft_wanfj_id=zgdzkj_e200801016&rfr_iscdi=true |