Convergence of online gradient method for feedforward neural networks with smoothing L1/2 regularization penalty. - Qin-wei Fan; Jacek M. Zurada; Wei Wu 010 (Neurocomputing, 2014)

A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models. - Yan Liu 015; Wei Wu 010; Qin-wei Fan; Dakun Yang; Jian Wang 010 (Neurocomputing, 2014)

A pruning algorithm with L 1/2 regularizer for extreme learning machine. - Ye-tian Fan; Wei Wu 010; Wenyu Yang; Qin-wei Fan; Jian Wang 010 (J. Zhejiang Univ. Sci. C, 2014)

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. - Wei Wu 010; Qin-wei Fan; Jacek M. Zurada; Jian Wang 010; Dakun Yang; Yan Liu 015 (Neural Networks, 2014)

Smoothing Regularized Extreme Learning Machine. - Qin-Wei Fan; Xingshi He; Xin-She Yang 001 (EANN, 2018)

Comparison of Constraint-Handling Techniques for Metaheuristic Optimization. - Xingshi He; Qin-Wei Fan; Mehmet Karamanoglu; Xin-She Yang 001 (ICCS (3), 2019)

Regression and Multiclass Classification Using Sparse Extreme Learning Machine via Smoothing Group L1/2 Regularizer. - Qinwei Fan; Lei Niu; Qian Kang (IEEE Access, 2020)

Convergence of a Gradient-Based Learning Algorithm With Penalty for Ridge Polynomial Neural Networks. - Qinwei Fan; Jigen Peng; Haiyang Li; Shoujin Lin (IEEE Access, 2021)

Deterministic convergence analysis via smoothing group Lasso regularization and adaptive momentum for Sigma-Pi-Sigma neural network. - Qian Kang; Qinwei Fan; Jacek M. Zurada (Inf. Sci., 2021)

Convergence analysis for sigma-pi-sigma neural network based on some relaxed conditions. - Qinwei Fan; Qian Kang; Jacek M. Zurada (Inf. Sci., 2022)

A pruning algorithm with relaxed conditions for high-order neural networks based on smoothing group L1/2 regularization and adaptive momentum. - Qian Kang; Qinwei Fan; Jacek M. Zurada; Tingwen Huang (Knowl. Based Syst., 2022)

Convergence of Batch Gradient Method for Training of Pi-Sigma Neural Network with Regularizer and Adaptive Momentum Term. - Qinwei Fan; Le Liu; Qian Kang; Li Zhou (Neural Process. Lett., 2023)

Convergence analysis for sparse Pi-sigma neural network model with entropy error function. - Qinwei Fan; Fengjiao Zheng; Xiaodi Huang; Dongpo Xu (Int. J. Mach. Learn. Cybern., 2023)

Efficient construction and convergence analysis of sparse convolutional neural networks. - Shuai Zhao; Qinwei Fan; Qingmei Dong; Zhiwei Xing; Xiaofei Yang 004; Xingshi He (Neurocomputing, 2024)

An improved genetic salp swarm algorithm with population partitioning for numerical optimization. - Qinwei Fan; Shuai Zhao; Meiling Shang; Zhanli Wei; Xiaodi Huang (Inf. Sci., 2024)

Convergence analysis of sparse TSK fuzzy systems based on spectral Dai-Yuan conjugate gradient and application to high-dimensional feature selection. - Deqing Ji; Qinwei Fan; Qingmei Dong; Yunlong Liu (Neural Networks, 2024)

Convergence Analysis of Online Gradient Method for High-Order Neural Networks and Their Sparse Optimization. - Qinwei Fan; Qian Kang; Jacek M. Zurada; Tingwen Huang; Dongpo Xu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Reinforced fuzzy neural networks based on maximum entropy clustering and conjugate gradient method. - Qingmei Dong; Qinwei Fan; Zhiwei Xing (Eng. Appl. Artif. Intell., 2025)

Gradient-based hybrid method for multi-objective optimization problems. - Dewei Yang; Qinwei Fan (Expert Syst. Appl., 2025)

Convergence analysis of a novel high order networks model based on entropy error function. - Qianru Huang; Qinwei Fan; Zhiwei Xing; Xiaofei Yang 004; Xingshi He (Math. Comput. Simul., 2025)

Solving sparse multi-objective optimization problems via dynamic adaptive grouping and reward-penalty sparse strategies. - Zhenxing Yu; Qinwei Fan; Jacek M. Zurada; Jigen Peng; Haiyang Li; Jian Wang 010 (Swarm Evol. Comput., 2025)

Convergence Analysis of Regularized Elman Neural Networks Under Relaxed Conditions. - Qinwei Fan; Li Zhou; Jacek M. Zurada; Jigen Peng; Haiyang Li; Jian Wang 010; Dakun Yang (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Identification and Convergence Analysis of Interval Type-2 Takagi-Sugeno-Kang Fuzzy Systems for High-Dimensional Classification Problems. - Qinwei Fan; Deqing Ji (IEEE Trans. Fuzzy Syst., 2025)