Qinwei Fan
Orcid: 0000-0002-1017-3496Affiliations:
- Xi'an Polytechnic University, School of Science, Xi'an, China
According to our database1,
Qinwei Fan
authored at least 17 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
Convergence analysis of a novel high order networks model based on entropy error function.
Math. Comput. Simul., 2025
2024
Convergence analysis of sparse TSK fuzzy systems based on spectral Dai-Yuan conjugate gradient and application to high-dimensional feature selection.
Neural Networks, 2024
An improved genetic salp swarm algorithm with population partitioning for numerical optimization.
Inf. Sci., 2024
Efficient construction and convergence analysis of sparse convolutional neural networks.
Neurocomputing, 2024
2023
Convergence analysis for sparse Pi-sigma neural network model with entropy error function.
Int. J. Mach. Learn. Cybern., December, 2023
Convergence of Batch Gradient Method for Training of Pi-Sigma Neural Network with Regularizer and Adaptive Momentum Term.
Neural Process. Lett., 2023
2022
A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum.
Knowl. Based Syst., 2022
Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions.
Inf. Sci., 2022
2021
Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network.
Inf. Sci., 2021
Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks.
IEEE Access, 2021
2020
Regression and Multiclass Classification Using Sparse Extreme Learning Machine via Smoothing Group L<sub>1/2</sub> Regularizer.
IEEE Access, 2020
2019
Proceedings of the Computational Science - ICCS 2019, 2019
2018
Proceedings of the Engineering Applications of Neural Networks, 2018
2014
Batch gradient method with smoothing L<sub>1/2</sub> regularization for training of feedforward neural networks.
Neural Networks, 2014
J. Zhejiang Univ. Sci. C, 2014
A modified gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Takagi-Sugeno fuzzy models.
Neurocomputing, 2014
Convergence of online gradient method for feedforward neural networks with smoothing L<sub>1/2</sub> regularization penalty.
Neurocomputing, 2014