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Disambiguation of "Wang, Linshan"

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Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction-Diffusion Terms and Markovian Jumping Parameters.

, , and . Neural Process. Lett., 48 (2): 979-994 (2018)

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Wang Wang

Linfang Wang

Investigation of the functions of 53BP1 in DNA demethylation. Uni Marburg, (2009)

Paul Wang

Lien Wang

Scheifoo Wang

 

Other publications of authors with the same name

Periodic Solutions to Stochastic Reaction-Diffusion Neural Networks With S-Type Distributed Delays., , and . IEEE Access, (2019)Global exponential robust stability of interval cellular neural networks with S-type distributed delays., and . Math. Comput. Model., 50 (3-4): 380-385 (2009)Stability of stochastic impulsive reaction-diffusion neural networks with S-type distributed delays and its application to image encryption., , , and . Neural Networks, (2019)Passivity-based synchronization of Markovian jump complex dynamical networks with time-varying delays, parameter uncertainties, reaction-diffusion terms, and sampled-data control., , , and . J. Comput. Appl. Math., (2019)Mean Square Almost Periodic Solutions for Impulsive Stochastic Differential Equations with Delays., , and . J. Appl. Math., (2012)Existence and Global Attractability of Almost Periodic Solution for Competitive Neural Networks with Time-Varying Delays and Different Time Scales., and . ISNN (1), volume 3971 of Lecture Notes in Computer Science, page 297-302. Springer, (2006)Existence-uniqueness and stability of reaction-diffusion stochastic Hopfield neural networks with S-type distributed time delays., , and . Neurocomputing, (2018)Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process., and . J. Appl. Math., (2012)Exponential Stability for a Class of Stochastic Reaction-Diffusion Hopfield Neural Networks with Delays., and . J. Appl. Math., (2012)Robust Exponential Synchronization for Stochastic Delayed Neural Networks with Reaction-Diffusion Terms and Markovian Jumping Parameters., , and . Neural Process. Lett., 48 (2): 979-994 (2018)