Changxin Mo

According to our database, Changxin Mo authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of four.

2024

Improved zeroing neural models based on two novel activation functions with exponential behavior.

Dimitrios Gerontitis, Changxin Mo, Predrag S. Stanimirovic, Vasilios N. Katsikis

Theor. Comput. Sci., February, 2024

2023

A novel extended Li zeroing neural network for matrix inversion.

Dimitrios Gerontitis, Changxin Mo, Predrag S. Stanimirovic, Panagiotis Tzekis, Vasilios N. Katsikis

Neural Comput. Appl., July, 2023

Solving the system of nonsingular tensor equations via randomized Kaczmarz-like method.

Xuezhong Wang, Maolin Che, Changxin Mo, Yiming Wei

J. Comput. Appl. Math., 2023

2022

Predefined-time convergent neural networks for solving the time-varying nonsingular multi-linear tensor equations.

Xuezhong Wang, Changxin Mo, Sanzheng Qiao, Yiming Wei

Neurocomputing, 2022

Calculating C-eigenpairs of piezoelectric-type tensors via a Z-eigenpair method.

Xifu Liu, Changxin Mo

Appl. Math. Comput., 2022

2021

Accelerated dynamical approaches for finding the unique positive solution of <i>K</i><i>S</i>-tensor equations.

Xuezhong Wang, Changxin Mo, Maolin Che, Yiming Wei

Numer. Algorithms, 2021

Solving the time-varying tensor square root equation by varying-parameters finite-time Zhang neural network.

Changxin Mo, Dimitrios Gerontitis, Predrag S. Stanimirovic

Neurocomputing, 2021

Perturbation analysis of third-order tensor eigenvalue problem based on tensor-tensor multiplication.

Changxin Mo, Weiyang Ding

CoRR, 2021

2020

Time-varying generalized tensor eigenanalysis via Zhang neural networks.

Changxin Mo, Xuezhong Wang, Yiming Wei

Neurocomputing, 2020

2019

Z-eigenvalues based structured tensors: $$\mathcal {M}_z$$-tensors and strong $$\mathcal {M}_z$$-tensors.

Changxin Mo, Chaoqian Li, Xuezhong Wang, Yiming Wei

Comput. Appl. Math., 2019