PUMA

academical publication management
collect, organize, and share publications

( en | de )

 

Disambiguation of "Yu, Shenghua"

Author of the publication

copydeleteadd this publication to your clipboard
Novel LMI-based condition on global asymptotic stability for BAM neural networks with reaction-diffusion terms and distributed delays.

, , , and . Neurocomputing, (2014)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Wei Yu University of Stuttgart

Yiwen Yuan University of Stuttgart

Xingyao Yu University of Stuttgart

Yu Li University of Stuttgart

Meral Yurdakul-Ziegler University of Stuttgart

 

Other publications of authors with the same name

Comparisons of variance estimators in a misspecified linear model with elliptically contoured errors., , and . J. Multivariate Analysis, (2015)New LMI-based conditions for global exponential stability to a class of Cohen-Grossberg BAM networks with delays., , and . Neurocomputing, (2013)Optimal and minimax prediction in multivariate normal populations under a balanced loss function., , and . J. Multivariate Analysis, (2014)Novel LMI-based condition on global asymptotic stability for BAM neural networks with reaction-diffusion terms and distributed delays., , , and . Neurocomputing, (2014)New global exponential stability conditions for inertial Cohen-Grossberg neural networks with time delays., , and . Neurocomputing, (2015)Finite-time anti-synchronization of neural networks with time-varying delays via inequality skills., , and . Neurocomputing, (2019)Finite-time synchronization for delayed complex-valued neural networks via integrating inequality method., , and . Neurocomputing, (2018)A Parametric Bootstrap Test for Two-Way ANOVA Model Without Interaction Under Heteroscedasticity., , , and . Communications in Statistics - Simulation and Computation, 44 (5): 1264-1272 (2015)Risk Comparison of Improved Estimators in a Linear Regression Model with Multivariate t Errors under Balanced Loss Function., , and . J. Applied Mathematics, (2014)