Results 221 to 230 of about 931,046 (255)

Mapping Coloured Stochastic Petrinets to stochastic process algebras

, 2003
J. HILLSTON, S. GILMORE, AND C. P.R.I.A.M.I. MAPPING COLOURED STOCHASTIC PETRINETS TO STOCHASTIC PROCESS ALGEBRAS, BRODO, Linda   +3 more
core  

Ultimate Boundedness of Stochastic Neural Networks with Delays

Advanced Materials Research, 2011
Although ultimate boundedness of several classes of neural networks with constant delays was studied by some researchers, the inherent randomness associated with signal transmission was not taken account into these networks. At present, few authors study ultimate boundedness of stochastic neural networks and no related papers are reported.
Li Wan, Qing Hua Zhou
exaly   +3 more sources

Some of the next articles are maybe not open access.

Related searches:

Exponential ultimate boundedness of impulsive stochastic delay differential equations

Applied Mathematics Letters, 2018
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liguang Xu, Danhua He
exaly   +4 more sources

Ultimate boundedness of impulsive stochastic delay differential equations with delayed impulses

Statistics and Probability Letters, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Liu, Zhiguang, Zhu, Quanxin
exaly   +2 more sources

Ultimate boundedness and invariant measures of stochastic evolution equations

Stochastic and Stochastics Reports, 1996
This work studies necessary and sufficient conditions for the exponential ultimate boundedness of the solutions of stochastic evolution equations in terms of Lyapunov function. We explicitly construct the Lyapunov function in the linear case and derive sufficient conditions in the non linear case through the first order approximation.
V Mandrekar
exaly   +2 more sources

Ultimate boundedness of stochastic Hopfield neural networks with time-varying delays

Neurocomputing, 2011
By employing Lyapunov functional theory as well as linear matrix inequalities, ultimate boundedness of stochastic Hopfield neural networks (HNN) with time-varying delays is investigated. Sufficient criteria on ultimate boundedness of stochastic HNN are firstly obtained, which fills up a gap and includes deterministic systems as our special case ...
Qinghua Zhou
exaly   +2 more sources

Attractor and ultimate boundedness for stochastic cellular neural networks with delays

Nonlinear Analysis: Real World Applications, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Qinghua Zhou
exaly   +3 more sources

Ultimate boundedness and an attractor for stochastic Hopfield neural networks with time-varying delays

Nonlinear Analysis: Real World Applications, 2012
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jizi Li, Qinghua Zhou
exaly   +3 more sources

Ultimate Boundedness of a Stochastic Chemostat Model with Periodic Nutrient Input and Random Disturbance

Acta Applicandae Mathematicae
The authors introduce and construct a class of stochastic periodic chemostat systems, under the assumption that the nutrient input concentration and noise intensities are periodic, which are endowed with many biological meanings. They discuss the importance of studying the stochastic ultimate boundedness of the solution for the stochastic periodic ...
Zhang, Xiaofeng, Zhang, Yujing
exaly   +3 more sources

The ultimate boundedness of solutions for stochastic differential equations driven by time-changed Lévy noises

Applied Mathematics Letters
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yejuan Wang, Yinan Ni
exaly   +5 more sources