Dakun Yang

According to our database, Dakun Yang authored at least 19 papers between 2014 and 2025.

Collaborative distances:

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

2025

Convergence Analysis of Regularized Elman Neural Networks Under Relaxed Conditions.

Qinwei Fan, Li Zhou, Jacek M. Zurada, Jigen Peng, Haiyang Li, Jian Wang, Dakun Yang

IEEE Trans. Syst. Man Cybern. Syst., January, 2025

2024

An interval neural network-based Caputo fractional-order extreme learning machine applied to classification.

Yuanquan Liu, Qiang Shao, Yan Liu, Dakun Yang

Appl. Soft Comput., 2024

2019

A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence.

Yan Liu, Dakun Yang, Long Li, Jie Yang

Neural Process. Lett., 2019

2018

Smoothed <i>L</i>_1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results.

Yan Liu, Dakun Yang, Feng Li

J. Frankl. Inst., 2018

L_1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis.

Dakun Yang, Yan Liu

Neurocomputing, 2018

Relaxed conditions for convergence analysis of online back-propagation algorithm with L₂ regularizer for Sigma-Pi-Sigma neural network.

Yan Liu, Dakun Yang, Chao Zhang

Neurocomputing, 2018

Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models.

Yan Liu, Long Li, Dakun Yang

Neurocomputing, 2018

Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image.

Xiao Liu, Ling Mei, Dakun Yang, Jianhuang Lai, Xiaohua Xie

Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

2017

Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L_1/2 regularization for the first-order Takagi-Sugeno system.

Yan Liu, Dakun Yang

Fuzzy Sets Syst., 2017

2016

Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models.

Yan Liu, Dakun Yang, Nan Nan, Li Guo, Jianjun Zhang

Neural Process. Lett., 2016

Extreme learning machine for interval neural networks.

Dakun Yang, Zhengxue Li, Wei Wu

Neural Comput. Appl., 2016

Face hallucination by deep traversal network.

Zhan-Xiang Feng, Jian-Huang Lai, Xiaohua Xie, Dakun Yang, Ling Mei

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep Representations Based on Sparse Auto-Encoder Networks for Face Spoofing Detection.

Dakun Yang, Jian-Huang Lai, Ling Mei

Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015

A Modified Learning Algorithm for Interval Perceptrons with Interval Weights.

Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu

Neural Process. Lett., 2015

Convergence of batch gradient learning algorithm with smoothing L_1/2 regularization for Sigma-Pi-Sigma neural networks.

Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed, Jing Wang, Wei Wu

Neurocomputing, 2015

WLD-TOP Based Algorithm against Face Spoofing Attacks.

Ling Mei, Dakun Yang, Zhan-Xiang Feng, Jianhuang Lai

Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014

Batch gradient method with smoothing L_1/2 regularization for training of feedforward neural networks.

Wei Wu, Qin-wei Fan, Jacek M. Zurada, Jian Wang, Dakun Yang, Yan Liu

Neural Networks, 2014

A modified gradient learning algorithm with smoothing L_1/2 regularization for Takagi-Sugeno fuzzy models.

Yan Liu, Wei Wu, Qin-wei Fan, Dakun Yang, Jian Wang

Neurocomputing, 2014

A Proof of a Key Formula in the Error-Backpropagation Learning Algorithm for Multiple Spiking Neural Networks.

Wenyu Yang, Dakun Yang, Yetian Fan

Proceedings of the Advances in Neural Networks - ISNN 2014, 2014