Chengze Jiang
Orcid: 0000-0002-1681-8128
According to our database1,
Chengze Jiang
authored at least 14 papers
between 2020 and 2024.
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Timeline
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Noise-tolerate and adaptive coefficient zeroing neural network for solving dynamic matrix square root.
CAAI Trans. Intell. Technol., February, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection.
Expert Syst. Appl., November, 2023
A dynamic matrix equation solution method based on NCBC-ZNN and its application on hyperspectral image multi-target detection.
Appl. Intell., October, 2023
Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation.
Neural Process. Lett., February, 2023
Norm-Based Adaptive Coefficient ZNN for Solving the Time-Dependent Algebraic Riccati Equation.
IEEE CAA J. Autom. Sinica, 2023
2022
A Non-Convex Activation and Noise-Suppressing Zeroing Neural Network for Finding Time-Varying Matrix Square Root.
IEEE Access, 2022
Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation.
IEEE Access, 2022
2021
Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem.
IEEE Trans. Ind. Informatics, 2021
Residual-Based Adaptive Coefficient and Noise-Immunity ZNN for Perturbed Time-Dependent Quadratic Minimization.
CoRR, 2021
Solving Time-Varying Complex-Valued Sylvester Equation via Adaptive Coefficient and Non-Convex Projection Zeroing Neural Network.
IEEE Access, 2021
Modified Newton Integration Algorithm With Noise Tolerance for Discrete Algebraic Matrix Riccati Equation.
IEEE Access, 2021
2020
A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion.
Inf. Sci., 2020