Existence and Exponential Stability of Solutions for Stochastic Cellular Neural Networks with Piecewise Constant Argument
出版年份 2014 全文链接
标题
Existence and Exponential Stability of Solutions for Stochastic Cellular Neural Networks with Piecewise Constant Argument
作者
关键词
-
出版物
Journal of Applied Mathematics
Volume 2014, Issue -, Pages 1-11
出版商
Hindawi Limited
发表日期
2014-03-31
DOI
10.1155/2014/145061
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Analysis of Nonlinear Dynamics of Neural Networks
- (2013) Sabri Arik et al. Abstract and Applied Analysis
- An analysis of stability of uncertain neural networks with multiple time delays
- (2013) Ozlem Faydasicok et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- A new condition for robust stability of uncertain neural networks with time delays
- (2013) Sabri Arik NEUROCOMPUTING
- New Criteria for Global Robust Stability of Delayed Neural Networks With Norm-Bounded Uncertainties
- (2013) IEEE Transactions on Neural Networks and Learning Systems
- Delay-dependent robust exponential stability of Markovian jumping reaction-diffusion Cohen–Grossberg neural networks with mixed delays
- (2012) Yong-Gui Kao et al. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Exponential stability of impulsive stochastic fuzzy cellular neural networks with mixed delays and reaction–diffusion terms
- (2012) Guowei Yang et al. NEURAL COMPUTING & APPLICATIONS
- Global exponential stability of neural networks with non-smooth and impact activations
- (2012) M.U. Akhmet et al. NEURAL NETWORKS
- Exponential stability of impulsive stochastic fuzzy reaction–diffusion Cohen–Grossberg neural networks with mixed delays
- (2012) Changhong Wang et al. NEUROCOMPUTING
- Global stability analysis for stochastic coupled reaction–diffusion systems on networks
- (2012) Yonggui Kao et al. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
- New results on global exponential stability for impulsive cellular neural networks with any bounded time-varying delays
- (2011) Bo Wu et al. MATHEMATICAL AND COMPUTER MODELLING
- Exponential stability of impulsive discrete systems with time delay and applications in stochastic neural networks: A Razumikhin approach
- (2011) Sichao Wu et al. NEUROCOMPUTING
- Synchronization of chaotic delayed neural networks with impulsive and stochastic perturbations
- (2010) Xiaodi Li et al. Communications in Nonlinear Science and Numerical Simulation
- Mean square exponential stability of impulsive stochastic fuzzy cellular neural networks with distributed delays
- (2010) Liping Chen et al. EXPERT SYSTEMS WITH APPLICATIONS
- Stability analysis of recurrent neural networks with piecewise constant argument of generalized type
- (2010) M.U. Akhmet et al. NEURAL NETWORKS
- Differential equations with state-dependent piecewise constant argument
- (2010) M.U. Akhmet et al. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
- Stability in cellular neural networks with a piecewise constant argument
- (2009) M.U. Akhmet et al. JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
- Existence and global exponential stability of periodic solution for delayed neural networks with impulsive and stochastic effects
- (2009) Xiaodi Li NEUROCOMPUTING
- Impulsive Hopfield-type neural network system with piecewise constant argument
- (2009) M.U. Akhmet et al. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
- pth moment stability analysis of stochastic recurrent neural networks with time-varying delays
- (2008) C HUANG et al. INFORMATION SCIENCES
- Global exponential stability for impulsive cellular neural networks with time-varying delays
- (2008) Shair Ahmad et al. NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
- Stability of differential equations with piecewise constant arguments of generalized type
- (2006) M.U. Akhmet NONLINEAR ANALYSIS-THEORY METHODS & APPLICATIONS
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