Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Lehua Huang"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Prior research has demonstrated that erectile dysfunction (ED) is a significant risk factor for cardiovascular disease (CVD) and premature mortality. Few studies have examined the link between ED and hyperglycemia, and the predictive power o
Externí odkaz:
https://doaj.org/article/6a4a1be070ef47c089f05528d93f8784
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2011 (2011)
Stability of reaction-diffusion recurrent neural networks (RNNs) with continuously distributed delays and stochastic influence are considered. Some new sufficient conditions to guarantee the almost sure exponential stability and mean square exponenti
Externí odkaz:
https://doaj.org/article/b2f3147010d049629e222440e28bfe86
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2010 (2010)
This paper addresses the issue of mean square exponential stability of stochastic Cohen-Grossberg neural networks (SCGNN), whose state variables are described by stochastic nonlinear integrodifferential equations. With the help of Lyapunov function,
Externí odkaz:
https://doaj.org/article/e32ab3d4ca094ccc9eb7391e382af49d
Autor:
Lehua Huang
Publikováno v:
Journal of Service Science and Management. :56-65
Based on 2688 groups of data during 2012-2014 of A-share market of Shenzhen and Shanghai Composite as the study sample, this article explores the influence of institutional investor on enterprise financial value and market value under the property di
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cc62269be91e8dc8d6b24b62bcc5fbed
https://doi.org/10.4236/jssm.2016.91008
https://doi.org/10.4236/jssm.2016.91008
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2011 (2011)
Stability of reaction-diffusion recurrent neural networks (RNNs) with continuously distributed delays and stochastic influence are considered. Some new sufficient conditions to guarantee the almost sure exponential stability and mean square exponenti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7bfd021dd0d469a188c3093451484b2b
https://doi.org/10.1155/2011/570295
https://doi.org/10.1155/2011/570295
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2010 (2010)
This paper addresses the issue of mean square exponential stability of stochastic Cohen-Grossberg neural networks (SCGNN), whose state variables are described by stochastic nonlinear integrodifferential equations. With the help of Lyapunov function,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ccad38a3de631417a92b71cf353a519
https://doi.org/10.1155/2010/513218
https://doi.org/10.1155/2010/513218