Traveling waves for delayed cellular neural networks with nonmonotonic output functions

NCU Institutional Repository > 理學院 > 數學系 > 期刊論文 > Item 987654321/109302

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: https://ir.lib.ncu.edu.tw/handle/987654321/109302

题名:	Traveling waves for delayed cellular neural networks with nonmonotonic output functions
作者:	許正雄;Peng, Mingshu;Hsu, Cheng-Hsiung;Yuan, Rong;Yu, Zhi-Xian
贡献者:	理學院數學系
关键词:	Lattice theory;Mathematical research;Neighborhoods;Neural networks;Ordinary differential equations;Science;Studies;Wave equation
日期:	2014-01-01
上传时间:	2026-04-23 16:25:13 (UTC+8)
出版者:	Hindawi Publishing Corporation;Cairo, Egypt: Hindawi Limiteds
摘要:	摘要： This work investigates traveling waves for a class of delayed cellular neural networks with nonmonotonic output functions on the one-dimensional integer lattice Z. The dynamics of each given cell depends on itself and its nearest m left or l right neighborhood cells with distributed delay due to, for example, finite switching speed and finite velocity of signal transmission. Our technique is to construct two appropriate nondecreasing functions to squeeze the nonmonotonic output functions. Then we construct a suitable wave profiles set and derive the existence of traveling wave solutions by using Schauder's fixed point theorem. 出版者： Cairo, Egypt: Hindawi Limiteds 出版日期： 2014-01-01 出處： Abstract and Applied Analysis, 2014-01, Vol.2014 (2014), p.415-425-740 資源來源： CEPS中文電子期刊版權： Copyright © 2014 Zhi-Xian Yu et al. 版權： COPYRIGHT 2014 John Wiley & Sons, Inc. 版權： Copyright © 2014 Zhi-Xian Yu et al. Zhi-Xian Yu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 版權： Copyright 2014 Hindawi Publishing Corporation 識別號： ISSN: 1085-3375 識別號： ISSN: 1687-0409 識別號： EISSN: 1687-0409 識別號： DOI: 10.1155/2014/490161
显示于类别:	[數學系] 期刊論文

文件中的档案:

档案	描述	大小	格式	浏览次数
index.html		0Kb	HTML	8	检视/开启

在NCUIR中所有的数据项都受到原著作权保护.

社群 sharing

数据加载中.....