Hongzhi Wei
Orcid: 0000-0002-4673-9834
According to our database1,
Hongzhi Wei
authored at least 17 papers
between 2015 and 2024.
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Bibliography
2024
Exponential Synchronization Control of Reaction-Diffusion Fuzzy Memristive Neural Networks: Hardy-Poincarè Inequality.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Dissipative control for quaternion-valued fuzzy memristive neural networks: Nonlinear scalarization approach.
Fuzzy Sets Syst., 2024
2023
Expert Syst. J. Knowl. Eng., May, 2023
2021
Vector network equilibrium problems with uncertain demands and capacity constraints of arcs.
Optim. Lett., 2021
Dynamic analysis of fractional-order quaternion-valued fuzzy memristive neural networks: Vector ordering approach.
Fuzzy Sets Syst., 2021
2020
Synchronization Control of Quaternion-Valued Neural Networks with Parameter Uncertainties.
Neural Process. Lett., 2020
Robustness Characterizations for Uncertain Optimization Problems via Image Space Analysis.
J. Optim. Theory Appl., 2020
A Unified Approach Through Image Space Analysis to Robustness in Uncertain Optimization Problems.
J. Optim. Theory Appl., 2020
2018
J. Optim. Theory Appl., 2018
J. Optim. Theory Appl., 2018
New results on passivity analysis of memristive neural networks with time-varying delays and reaction-diffusion term.
Neurocomputing, 2018
2017
Stability Analysis of Fractional Order Complex-Valued Memristive Neural Networks with Time Delays.
Neural Process. Lett., 2017
Sampled-data state estimation for delayed memristive neural networks with reaction-diffusion terms: Hardy-Poincarè inequality.
Neurocomputing, 2017
2016
Synchronization of delayed Markovian jump memristive neural networks with reaction-diffusion terms via sampled data control.
Int. J. Mach. Learn. Cybern., 2016
Extended dissipative analysis for memristive neural networks with two additive time-varying delay components.
Neurocomputing, 2016
2015
Synchronization of a class of memristive neural networks with time delays via sampled-data control.
Int. J. Mach. Learn. Cybern., 2015
Int. J. Mach. Learn. Cybern., 2015