Hongzhi Wei

Orcid: 0000-0002-4673-9834

According to our database1, Hongzhi Wei authored at least 15 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Preschool education optimization based on mobile edge computing under COVID-19.
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
A Unified Characterization of Multiobjective Robustness via Separation.
J. Optim. Theory Appl., 2018

Characterizations for Optimality Conditions of General Robust Optimization Problems.
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

State estimation for memristor-based neural networks with time-varying delays.
Int. J. Mach. Learn. Cybern., 2015


  Loading...