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2020 – today
- 2022
[j24]Qi Yao
, Ping Lin, Linshan Wang, Yangfan Wang:
Practical Exponential Stability of Impulsive Stochastic Reaction-Diffusion Systems With Delays. IEEE Trans. Cybern. 52(5): 2687-2697 (2022)
2010 – 2019
- 2019
- [j23]Qi Yao, Yangfan Wang, Linshan Wang:
Periodic Solutions to Stochastic Reaction-Diffusion Neural Networks With S-Type Distributed Delays. IEEE Access 7: 110905-110911 (2019) - [j22]Qi Yao, Linshan Wang, Yangfan Wang:
Periodic solutions to impulsive stochastic reaction-diffusion neural networks with delays. Commun. Nonlinear Sci. Numer. Simul. 78: 104865 (2019) - [j21]M. Syed Ali, L. Palanisamy, J. Yogambigai, Linshan Wang:
Passivity-based synchronization of Markovian jump complex dynamical networks with time-varying delays, parameter uncertainties, reaction-diffusion terms, and sampled-data control. J. Comput. Appl. Math. 352: 79-92 (2019) - [j20]Tengda Wei, Qi Yao, Ping Lin, Linshan Wang:
Adaptive synchronization of stochastic complex dynamical networks and its application. Neural Comput. Appl. 31(10): 6879-6892 (2019) - [j19]Tengda Wei, Ping Lin, Yangfan Wang, Linshan Wang:
Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption. Neural Networks 116: 35-45 (2019) - [j18]Tengda Wei, Ping Lin, Quanxin Zhu, Linshan Wang, Yangfan Wang:
Dynamical Behavior of Nonautonomous Stochastic Reaction-Diffusion Neural-Network Models. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1575-1580 (2019) - 2018
- [j17]Qi Yao, Linshan Wang, Yangfan Wang:
Existence-uniqueness and stability of reaction-diffusion stochastic Hopfield neural networks with S-type distributed time delays. Neurocomputing 275: 470-477 (2018) - [j16]Tengda Wei, Yangfan Wang, Linshan Wang:
Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction-Diffusion Terms and Markovian Jumping Parameters. Neural Process. Lett. 48(2): 979-994 (2018) - 2017
- [j15]Tengda Wei, Linshan Wang, Yangfan Wang:
Existence, uniqueness and stability of mild solutions to stochastic reaction-diffusion Cohen-Grossberg neural networks with delays and Wiener processes. Neurocomputing 239: 19-27 (2017) - 2016
- [j14]Xiao Liang, Linshan Wang, Yangfan Wang, Ruili Wang:
Dynamical Behavior of Delayed Reaction-Diffusion Hopfield Neural Networks Driven by Infinite Dimensional Wiener Processes. IEEE Trans. Neural Networks Learn. Syst. 27(9): 1816-1826 (2016) - 2014
- [j13]Haiyong Zheng, Bin Wu, Tengda Wei, Linshan Wang, Yangfan Wang:
Global Exponential Robust Stability of High-Order Hopfield Neural Networks with S-Type Distributed Time Delays. J. Appl. Math. 2014: 705496:1-705496:8 (2014) - [j12]Guiying Chen, Linshan Wang:
Global Exponential Robust Stability of Static Interval Neural Networks with Time Delay in the Leakage Term. J. Appl. Math. 2014: 972608:1-972608:6 (2014) - 2013
- [c3]Guiying Chen, Linshan Wang:
Convergence of generalized fuzzy bidirectional associative memory neural networks with thresholds. FSKD 2013: 44-48 - [c2]Chunge Lu, Linshan Wang:
Global exponential robust stability of stochastic reaction-diffusion static neural networks with mixed time delays. ICNC 2013: 13-17 - 2012
- [j11]Yangfan Wang, Linshan Wang:
LMI-Based Approach for Exponential Robust Stability of High-Order Hopfield Neural Networks with Time-Varying Delays. J. Appl. Math. 2012: 182745:1-182745:8 (2012) - [j10]Ruojun Zhang, Nan Ding, Linshan Wang:
Mean Square Almost Periodic Solutions for Impulsive Stochastic Differential Equations with Delays. J. Appl. Math. 2012: 414320:1-414320:14 (2012) - [j9]Xiao Liang, Linshan Wang:
Exponential Stability for a Class of Stochastic Reaction-Diffusion Hopfield Neural Networks with Delays. J. Appl. Math. 2012: 693163:1-693163:12 (2012) - [j8]Weiwei Zhang, Linshan Wang:
Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process. J. Appl. Math. 2012: 829594:1-829594:12 (2012) - [j7]Wei Han, Yan Liu, Linshan Wang:
Global exponential stability of delayed fuzzy cellular neural networks with Markovian jumping parameters. Neural Comput. Appl. 21(1): 67-72 (2012) - 2011
- [j6]Wei Han, Yonggui Kao, Linshan Wang:
Global exponential robust stability of static interval neural networks with S-type distributed delays. J. Frankl. Inst. 348(8): 2072-2081 (2011)
2000 – 2009
- 2009
- [j5]Ruojun Zhang, Linshan Wang:
Global exponential robust stability of interval cellular neural networks with S-type distributed delays. Math. Comput. Model. 50(3-4): 380-385 (2009) - 2006
- [j4]Min Wang, Linshan Wang:
Global asymptotic robust stability of static neural network models with S-type distributed delays. Math. Comput. Model. 44(1-2): 218-222 (2006) - [c1]Wentong Liao, Linshan Wang:
Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales. ISNN (1) 2006: 297-302 - 2003
- [j3]Linshan Wang, Daoyi Xu:
Global exponential stability of Hopfield reaction-diffusion neural networks with time-varying delays. Sci. China Ser. F Inf. Sci. 46(6): 466-474 (2003) - 2002
- [j2]Linshan Wang, Daoyi Xu:
Global asymptotic stability of bidirectional associative memory neural networks with S-type distributed delays. Int. J. Syst. Sci. 33(11): 869-877 (2002) - [j1]Linshan Wang:
Comments on "Robust stability for interval Hopfield neural networks with time delay" by X.F. Liao. IEEE Trans. Neural Networks 13(1): 250-251 (2002)
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