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在“SpringerLink电子期刊”中，命中：68条，耗时：小于0.01 秒

在所有数据库中总计命中：625条

1. Sampled-data synchronization of randomly coupled reaction–diffusion neural networks with Markovian jumping and mixed delays using multiple integral approach

作者： R. Rakkiyappan ; S. Dharani

关键词：Reaction–diffusion neural networks ; Sampled ; data control ; Random coupling strength ; Markovian jumping ; Multiple integral approach

刊名：Neural Computing and Applications

出版年：2017

2. Mathematical Formalism of Nonequilibrium Thermodynamics for Nonlinear Chemical Reaction Systems with General Rate Law

作者： Hao Ge ; Hong Qian

关键词：Chemical reaction models ; Large deviation principle ; Stochastic thermodynamics

刊名：Journal of Statistical Physics

出版年：2017

3. Novel stability condition of stochastic fuzzy neural networks with Markovian jumping under impulsive perturbations

作者： Cheng-De Zheng ; Yanli Zhang ; Zhanshan Wang

关键词：Impulse ; Fuzzy neural networks ; Jensen integral inequality ; Markovian jumping ; Linear convex combination

刊名：International Journal of Machine Learning and Cybernetics

出版年：2016

4. Mode and Delay-dependent Stochastic Stability Conditions of Fuzzy Neural Networks with Markovian Jump Parameters

作者： Cheng-De Zheng ; Xiaoyu Zhang ; Zhanshan Wang

关键词：Fuzzy neural networks ; Jensen integral inequality ; Markovian jump ; Linear convex combination technique

刊名：Neural Processing Letters

出版年：2016

5. Synchronization of delayed Markovian jump memristive neural networks with reaction–diffusion terms via sampled data control

作者： Ruoxia Li ; Hongzhi Wei

关键词：Memristor ; Synchronization ; Reaction–diffusion ; Markovian jump ; Sampled data

刊名：International Journal of Machine Learning and Cybernetics

出版年：2016

6. Exponential state estimation for Markovian jumping neural networks with mixed time-varying delays and discontinuous activation functions

作者： Huaiqin Wu ; Leifei Wang ; Yu Wang…

刊名：International Journal of Machine Learning and Cybernetics

出版年：2016

7. Non-fragile finite-time filter design for time-delayed Markovian jumping systems via T–S fuzzy model approach

作者： Shuping He ; Huiling Xu

关键词：Nonlinear Markovian jumping systems (NMJSs) ; Non ; fragile finite ; time $$H_{\infty }$$ H ?ilter ; Finite ; time boundness ; Takagi–Sugeno fuzzy models ; Linear matrix inequalities (LMIs)

刊名：Nonlinear Dynamics

出版年：2015

8. Robust dissipativity and passivity analysis for discrete-time stochastic T–S fuzzy Cohen–Grossberg Markovian jump neural networks with mixed time delays

作者： S. Ramasamy ; G. Nagamani ; Quanxin Zhu

刊名：Nonlinear Dynamics

出版年：2016

9. Stability of Markovian jump neural networks with mode-dependent delays and generally incomplete transition probability

作者： Jing Xie ; Yonggui Kao

关键词：Markovian jumping neural networks ; Robust exponential stability ; Mode ; dependent delay ; Linear matrix inequality ; Generally incomplete transition probability

刊名：Neural Computing & Applications

出版年：2015

10. Exponential synchronization of Markovian jumping complex dynamical networks with randomly occurring parameter uncertainties

作者：Wuneng Zhou (1) (3)
Anding Dai (1)
Jun Yang (1)
Huashan Liu (1)
Xueliang Liu (2)

关键词：Exponential synchronization ; Complex dynamical network ; Markovian jumping ; Randomly occurring parameter uncertainty

刊名：Nonlinear Dynamics

出版年：2014

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