Lei Jia

Orcid: 0009-0004-4116-3524

Affiliations:
  • Hunan Normal University, Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China (PhD 2023)
  • Inner Mongolia University, College of Computer Science, Hohhot, China


According to our database1, Lei Jia authored at least 40 papers between 2019 and 2026.

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Bibliography

2026
Design, analysis and verification of noise-tolerant and overshoot-free recurrent neural network.
Neural Networks, 2026

2025
Corrigendum to "Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems" [Neural Networks 187 (2025) 107412].
Neural Networks, 2025

Noise-resistant predefined-time convergent ZNN models for dynamic least squares and multi-agent systems.
Neural Networks, 2025

2024
Modified Noise-Immune Fuzzy Neural Network for Solving the Quadratic Programming With Equality Constraint Problem.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

A Novel Zeroing Neurodynamic Method Based on Discrete Fuzzy Control System: Design, Analysis, and Verification.
IEEE Trans. Fuzzy Syst., August, 2024

A Dynamic Parameter Noise-Tolerant Zeroing Neural Network for Time-Varying Quaternion Matrix Equation With Applications.
IEEE Trans. Neural Networks Learn. Syst., June, 2024

Design and Analysis of a Novel Distributed Gradient Neural Network for Solving Consensus Problems in a Predefined Time.
IEEE Trans. Neural Networks Learn. Syst., March, 2024

A New Predefined Time Zeroing Neural Network With Drop Conservatism for Matrix Flows Inversion and Its Application.
IEEE Trans. Cybern., February, 2024

2023
ZNNs With a Varying-Parameter Design Formula for Dynamic Sylvester Quaternion Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

Intensive Noise-Tolerant Zeroing Neural Network Based on a Novel Fuzzy Control Approach.
IEEE Trans. Fuzzy Syst., December, 2023

A Fuzzy Adaptive Zeroing Neural Network Model With Event-Triggered Control for Time-Varying Matrix Inversion.
IEEE Trans. Fuzzy Syst., November, 2023

A ZNN-based sliding mode control strategy for solving synchronization problems of chaotic systems with application in memristor oscillator.
J. Frankl. Inst., November, 2023

Design, analysis, and application of fixed-time convergence fuzzy ZNN model realized by dynamic fuzzy logic system for time-varying Sylvester equation.
Neurocomputing, November, 2023

Design and Analysis of a Self-Adaptive Zeroing Neural Network for Solving Time-Varying Quadratic Programming.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Prescribed-time robust ZNN models for solving equality and inequality systems.
J. Frankl. Inst., September, 2023

2022
An intelligent fuzzy robustness ZNN model with fixed-time convergence for time-variant Stein matrix equation.
Int. J. Intell. Syst., December, 2022

Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI.
IEEE Trans. Neural Networks Learn. Syst., 2022

Zeroing Neural Networks for Dynamic Quaternion-Valued Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022

Finite-Time Solution of Time-Varying Tensor Inversion by a Novel Dynamic-Parameter Zeroing Neural-Network.
IEEE Trans. Ind. Informatics, 2022

ZNN With Fuzzy Adaptive Activation Functions and Its Application to Time-Varying Linear Matrix Equation.
IEEE Trans. Ind. Informatics, 2022

Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic Positioning.
IEEE Trans. Ind. Informatics, 2022

Design and Analysis of a Hybrid GNN-ZNN Model With a Fuzzy Adaptive Factor for Matrix Inversion.
IEEE Trans. Ind. Informatics, 2022

Design and Analysis of a Noise-Resistant ZNN Model for Settling Time-Variant Linear Matrix Inequality in Predefined-Time.
IEEE Trans. Ind. Informatics, 2022

Application of Two Fuzzy Logic Systems to Complex-Type ZNN Models for the Drazin Inverse of Time-Dependent Complex-Value Matrix.
IEEE Trans. Fuzzy Syst., 2022

A fuzzy adaptive zeroing neural network with superior finite-time convergence for solving time-variant linear matrix equations.
Knowl. Based Syst., 2022

ZNN for time-variant nonlinear inequality systems: A finite-time solution.
Neurocomputing, 2022

A novel ZNN model for fast synchronisation of chaos systems with external disturbances.
Neurocomputing, 2022

Two discrete ZNN models for solving time-varying augmented complex Sylvester equation.
Neurocomputing, 2022

Improved finite-time solutions to time-varying Sylvester tensor equation via zeroing neural networks.
Appl. Math. Comput., 2022

2021
Design and Analysis of Two Prescribed-Time and Robust ZNN Models With Application to Time-Variant Stein Matrix Equation.
IEEE Trans. Neural Networks Learn. Syst., 2021

A Parameter-Changing and Complex-Valued Zeroing Neural-Network for Finding Solution of Time-Varying Complex Linear Matrix Equations in Finite Time.
IEEE Trans. Ind. Informatics, 2021

Finite-Time and Predefined-Time Convergence Design for Zeroing Neural Network: Theorem, Method, and Verification.
IEEE Trans. Ind. Informatics, 2021

Design and Application of an Adaptive Fuzzy Control Strategy to Zeroing Neural Network for Solving Time-Variant QP Problem.
IEEE Trans. Fuzzy Syst., 2021

A Novel Fuzzy-Power Zeroing Neural Network Model for Time-Variant Matrix Moore-Penrose Inversion With Guaranteed Performance.
IEEE Trans. Fuzzy Syst., 2021

High-order error function designs to compute time-varying linear matrix equations.
Inf. Sci., 2021

Comprehensive study on complex-valued ZNN models activated by novel nonlinear functions for dynamic complex linear equations.
Inf. Sci., 2021

Design and analysis of a noise-suppression zeroing neural network approach for robust synchronization of chaotic systems.
Neurocomputing, 2021

2020
New error function designs for finite-time ZNN models with application to dynamic matrix inversion.
Neurocomputing, 2020

Design and Application of A Robust Zeroing Neural Network to Kinematical Resolution of Redundant Manipulators Under Various External Disturbances.
Neurocomputing, 2020

2019
Finite-Time Convergence and Robustness Analysis of Two Nonlinear Activated ZNN Models for Time-Varying Linear Matrix Equations.
IEEE Access, 2019


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