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Dakun Yang
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2010 – 2019
- 2019
- [j12]Yan Liu, Dakun Yang, Long Li, Jie Yang:
A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence. Neural Process. Lett. 50(2): 1589-1609 (2019) - 2018
- [j11]Dakun Yang, Yan Liu:
L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis. Neurocomputing 272: 122-129 (2018) - [j10]Yan Liu, Dakun Yang, Chao Zhang
:
Relaxed conditions for convergence analysis of online back-propagation algorithm with L2 regularizer for Sigma-Pi-Sigma neural network. Neurocomputing 272: 163-169 (2018) - [j9]Yan Liu, Long Li, Dakun Yang:
Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models. Neurocomputing 311: 270-278 (2018) - [j8]Yan Liu, Dakun Yang, Feng Li:
Smoothed L1/2 regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results. J. Frankl. Inst. 355(13): 6132-6151 (2018) - [c5]Xiao Liu
, Ling Mei
, Dakun Yang, Jianhuang Lai
, Xiaohua Xie
:
Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image. PRCV (2) 2018: 87-98 - 2017
- [j7]Yan Liu, Dakun Yang:
Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L1/2 regularization for the first-order Takagi-Sugeno system. Fuzzy Sets Syst. 319: 28-49 (2017) - 2016
- [j6]Dakun Yang, Zhengxue Li, Wei Wu:
Extreme learning machine for interval neural networks. Neural Comput. Appl. 27(1): 3-8 (2016) - [j5]Yan Liu, Dakun Yang, Nan Nan, Li Guo, Jianjun Zhang:
Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models. Neural Process. Lett. 43(3): 745-758 (2016) - [c4]Dakun Yang, Jian-Huang Lai, Ling Mei:
Deep Representations Based on Sparse Auto-Encoder Networks for Face Spoofing Detection. CCBR 2016: 620-627 - [c3]Zhan-Xiang Feng, Jian-Huang Lai, Xiaohua Xie, Dakun Yang, Ling Mei:
Face hallucination by deep traversal network. ICPR 2016: 3276-3281 - 2015
- [j4]Yan Liu, Zhengxue Li, Dakun Yang, Kh. Sh. Mohamed
, Jing Wang, Wei Wu:
Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks. Neurocomputing 151: 333-341 (2015) - [j3]Dakun Yang, Zhengxue Li, Yan Liu, Huisheng Zhang, Wei Wu:
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights. Neural Process. Lett. 42(2): 381-396 (2015) - [c2]Ling Mei, Dakun Yang, Zhan-Xiang Feng, Jianhuang Lai:
WLD-TOP Based Algorithm against Face Spoofing Attacks. CCBR 2015: 135-142 - 2014
- [j2]Yan Liu, Wei Wu, Qin-wei Fan
, Dakun Yang, Jian Wang
:
A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models. Neurocomputing 138: 229-237 (2014) - [j1]Wei Wu, Qin-wei Fan
, Jacek M. Zurada, Jian Wang
, Dakun Yang, Yan Liu:
Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks. Neural Networks 50: 72-78 (2014) - [c1]Wenyu Yang, Dakun Yang, Yetian Fan:
A Proof of a Key Formula in the Error-Backpropagation Learning Algorithm for Multiple Spiking Neural Networks. ISNN 2014: 19-26
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