Guan-Cheng Wang
Orcid: 0000-0002-6391-6257Affiliations:
- Guangdong Ocean University, Zhanjiang, China
- University of Macau, Taipa, Macau, China
According to our database1,
Guan-Cheng Wang
authored at least 22 papers
between 2017 and 2024.
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Bibliography
2024
New zeroing NN models with nonconvex saturated activation functions in noisy environments for quadratic minimization dynamics and control.
J. Comput. Appl. Math., 2024
2023
ACM Trans. Intell. Syst. Technol., December, 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
An activated variable parameter gradient-based neural network for time-variant constrained quadratic programming and its applications.
CAAI Trans. Intell. Technol., September, 2023
A proportional-integral iterative algorithm for time-variant equality-constrained quadratic programming problem with applications.
Artif. Intell. Rev., May, 2023
An Isomerism Learning Model to Solve Time-Varying Problems Through Intelligent Collaboration.
IEEE CAA J. Autom. Sinica, 2023
A Distributed Computation Model Based on Federated Learning Integrates Heterogeneous models and Consortium Blockchain for Solving Time-Varying Problems.
CoRR, 2023
A robust newton iterative algorithm for acoustic location based on solving linear matrix equations in the presence of various noises.
Appl. Intell., 2023
Accelerated Adaptive Gradient Neural Dynamics Models for Solving Time-Variant Lyapunov Equation and Their Applications.
IEEE Access, 2023
2022
Improved ZND model for solving dynamic linear complex matrix equation and its application.
Neural Comput. Appl., 2022
Sentiment Analysis of Review Data Using Blockchain and LSTM to Improve Regulation for a Sustainable Market.
J. Theor. Appl. Electron. Commer. Res., 2022
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations.
Inf. Sci., 2022
2021
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization.
Numer. Algorithms, 2021
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems.
Inf. Sci., 2021
2020
Two neural dynamics approaches for computing system of time-varying nonlinear equations.
Neurocomputing, 2020
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion.
Neurocomputing, 2020
Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation.
Appl. Soft Comput., 2020
An Integration-Implemented Newton-Raphson Iterated Algorithm With Noise Suppression for Finding the Solution of Dynamic Sylvester Equation.
IEEE Access, 2020
2018
Gain Error Calibrations for Two-Step ADCs: Optimizations Either in Accuracy or Chip Area.
IEEE Trans. Very Large Scale Integr. Syst., 2018
Missing-Code-Occurrence Probability Calibration Technique for DAC Nonlinearity With Supply and Reference Circuit Analysis in a SAR ADC.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018
2017
A missing-code-detection gain error calibration achieving 63dB SNR for an 11-bit ADC.
Proceedings of the 43rd IEEE European Solid State Circuits Conference, 2017