Mingwen Zheng

According to our database1, Mingwen Zheng authored at least 24 papers between 2010 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Interlayer Sparse Compression-Based Deep Echo State Network Model and Its Application in Time-Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., June, 2026

A Novel 5-D-Chaotic Encryption Algorithm Based on Dual Memristive Hopfield Neural Network With Weight Switching Mechanism Using Peano Curve.
IEEE Internet Things J., 2026

Research on deep echo state networks with reservoir interactions.
Expert Syst. Appl., 2026

Predefined-time synchronization of fractional-order memristor-based fuzzy cellular neural networks with time-varying delays: Application to image encryption.
Commun. Nonlinear Sci. Numer. Simul., 2026

2025
Predefined-Time Synchronization Control of Fractional-Order Multi-modal Memristive Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2025

2024
Predefined-time synchronization of time-varying delay fractional-order Cohen-Grossberg neural network based on memristor.
Commun. Nonlinear Sci. Numer. Simul., 2024

2023
Generalized projective control for leader-following multi-agent systems with predefined-time.
Commun. Nonlinear Sci. Numer. Simul., December, 2023

A novel time series prediction method based on pooling compressed sensing echo state network and its application in stock market.
Neural Networks, July, 2023

Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

2022
A multitarget backdooring attack on deep neural networks with random location trigger.
Int. J. Intell. Syst., 2022

2021
Predefined-Time Stability/Synchronization of Coupled Memristive Neural Networks With Multi-Links and Application in Secure Communication.
Frontiers Neurorobotics, 2021

Application of ESN prediction model based on compressed sensing in stock market.
Commun. Nonlinear Sci. Numer. Simul., 2021

2020
A New Asymmetrical Encryption Algorithm Based on Semitensor Compressed Sensing in WBANs.
IEEE Internet Things J., 2020

Finite-Time Synchronization of Multi-Linked Memristor-Based Neural Networks With Mixed Time-Varying Delays.
IEEE Access, 2020

2019
General decay synchronization of complex multi-links time-varying dynamic network.
Commun. Nonlinear Sci. Numer. Simul., 2019

Finite-Time Synchronization of Coupled Memrisive Neural Network via Robust Control.
IEEE Access, 2019

2018
Parameters estimation and synchronization of uncertain coupling recurrent dynamical neural networks with time-varying delays based on adaptive control.
Neural Comput. Appl., 2018

Fixed-time synchronization of memristor-based fuzzy cellular neural network with time-varying delay.
J. Frankl. Inst., 2018

Finite-time stability and synchronization of memristor-based fractional-order fuzzy cellular neural networks.
Commun. Nonlinear Sci. Numer. Simul., 2018

Fixed-Time Synchronization of Memristive Fuzzy BAM Cellular Neural Networks With Time-Varying Delays Based on Feedback Controllers.
IEEE Access, 2018

2017
Finite-time stability analysis for neutral-type neural networks with hybrid time-varying delays without using Lyapunov method.
Neurocomputing, 2017

Finite-time topology identification and stochastic synchronization of complex network with multiple time delays.
Neurocomputing, 2017

2010
The RBFNN 's Application in Nonlinear System Model Based on Improved APC-III Algorithm.
Proceedings of the Advances in Swarm Intelligence, First International Conference, 2010

A kind of distance between interval-valued fuzzy sets denoted d.
Proceedings of the Third International Workshop on Advanced Computational Intelligence, 2010


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