Xiuchun Xiao

According to our database1, Xiuchun Xiao authored at least 31 papers between 2008 and 2022.

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PhD thesis 


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On csauthors.net:


An Adaptive Gradient Neural Network to Solve Dynamic Linear Matrix Equations.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Modified Newton Integration Algorithm With Noise Tolerance Applied to Robotics.
IEEE Trans. Syst. Man Cybern. Syst., 2022

A Generalized Complex-Valued Constrained Energy Minimization Scheme for the Arctic Sea Ice Extraction Aided With Neural Algorithm.
IEEE Trans. Geosci. Remote. Sens., 2022

Reformative Noise-Immune Neural Network for Equality-Constrained Optimization Applied to Image Target Detection.
IEEE Trans. Emerg. Top. Comput., 2022

A zeroing neural dynamics based acceleration optimization approach for optimizers in deep neural networks.
Neural Networks, 2022

Residual Error Feedback Zeroing Neural Network for Solving Time-Varying Sylvester Equation.
IEEE Access, 2022

A Local Consensus Index Scheme for Random-Valued Impulse Noise Detection Systems.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Nonconvex and Bound Constraint Zeroing Neural Network for Solving Time-Varying Complex-Valued Quadratic Programming Problem.
IEEE Trans. Ind. Informatics, 2021

Modified Newton Integration Neural Algorithm for Dynamic Complex-Valued Matrix Pseudoinversion Applied to Mobile Object Localization.
IEEE Trans. Ind. Informatics, 2021

A Data-Driven Cyclic-Motion Generation Scheme for Kinematic Control of Redundant Manipulators.
IEEE Trans. Control. Syst. Technol., 2021

Modified Newton Integration Algorithm With Noise Tolerance for Image Deblurring.
IEEE Trans. Computational Imaging, 2021

A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems.
Inf. Sci., 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

RNN for Solving Time-Variant Generalized Sylvester Equation With Applications to Robots and Acoustic Source Localization.
IEEE Trans. Ind. Informatics, 2020

A parallel computing method based on zeroing neural networks for time-varying complex-valued matrix Moore-Penrose inversion.
Inf. Sci., 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

On Position and Attitude Control of Flapping Wing Micro-aerial Vehicle.
Proceedings of the Advances in Neural Networks - ISNN 2020, 2020

On Generalized RMP Scheme for Redundant Robot Manipulators Aided With Dynamic Neural Networks and Nonconvex Bound Constraints.
IEEE Trans. Ind. Informatics, 2019

Parameter Estimation of Decaying DC Component via Improved Levenberg-Marquardt Algorithm.
Trans. Edutainment, 2019

Noise-Tolerant Zeroing Neural Network for Solving Non-Stationary Lyapunov Equation.
IEEE Access, 2019

Adaptive Zeroing-Gradient Controller for Ship Course Tracking With Near Singularity Considered and Zero Theoretical Tracking Error.
IEEE Access, 2019

Neural Dynamics for Control of Industrial Agitator Tank With Rapid Convergence and Perturbations Rejection.
IEEE Access, 2019

An Optimized Method for Bayesian Connectivity Change Point Model.
J. Comput. Biol., 2018

Detecting Change Points in fMRI Data via Bayesian Inference and Genetic Algorithm Model.
Proceedings of the Bioinformatics Research and Applications - 13th International Symposium, 2017

Parameter estimation of the exponentially damped sinusoids signal using a specific neural network.
Neurocomputing, 2014

A Neural Network for Parameter Estimation of the Exponentially Damped Sinusoids.
Proceedings of the Intelligence Science and Big Data Engineering, 2013

A neural network model for power system inter-harmonics estimation.
Proceedings of the Fifth International Conference on Bio-Inspired Computing: Theories and Applications, 2010

Growing Algorithm of Laguerre Orthogonal Basis Neural Network with Weights Directly Determined.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008