Weiqiang Gong

According to our database1, Weiqiang Gong authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Improved <i>μ</i> -state estimation for Markovian switching CVNNs with mixed delays: event-triggered mechanism.
Int. J. Syst. Sci., June, 2024

Nonfragile state estimation for semi-Markovian switching CVNs with general uncertain transition rates: An event-triggered scheme.
Math. Comput. Simul., April, 2024

Multistability analysis of complex-valued recurrent neural networks with sine and cosine activation functions.
Neurocomputing, 2024

2023
Effective connectivity analysis of brain networks of mathematically gifted adolescents using transfer entropy.
J. Intell. Fuzzy Syst., 2023

2022
Multi-class classification of action intention understanding brain signals based on thresholding graph metric.
J. Intell. Fuzzy Syst., 2022

2021
State estimation for semi-Markovian switching CVNNs with quantization effects and linear fractional uncertainties.
J. Frankl. Inst., 2021

Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation.
Comput. Intell. Neurosci., 2021

2019
Robust state estimation for stochastic complex-valued neural networks with sampled-data.
Neural Comput. Appl., 2019

Stability and synchronization for impulsive Markovian switching CVNNs: matrix measure approach.
Commun. Nonlinear Sci. Numer. Simul., 2019

2017
Robust State Estimation for Delayed Complex-Valued Neural Networks.
Neural Process. Lett., 2017

Multistability of complex-valued neural networks with distributed delays.
Neural Comput. Appl., 2017

2016
Nonlinear Measure Approach for the Stability Analysis of Complex-Valued Neural Networks.
Neural Process. Lett., 2016

Multistability of complex-valued neural networks with discontinuous activation functions.
Neural Networks, 2016

2015
Matrix measure method for global exponential stability of complex-valued recurrent neural networks with time-varying delays.
Neural Networks, 2015

Global μ-stability of complex-valued delayed neural networks with leakage delay.
Neurocomputing, 2015


  Loading...