Dakun Yang

发表

A Smoothing Interval Neural Network

Wei Wu, Dakun Yang, Wei Wu, 2012 .

Extreme learning machine for interval neural networks

Wei Wu, Zhengxue Li, Dakun Yang, 2013, Neural Computing and Applications.

Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks

Jacek M. Zurada, Wei Wu, Yan Liu, 2014, Neural Networks.

Convergence of batch gradient learning algorithm with smoothing L1/2 regularization for Sigma-Pi-Sigma neural networks

Jing Wang, Wei Wu, Zhengxue Li, 2015, Neurocomputing.

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

Yan Liu, Jie Yang, Dakun Yang, 2018, Neural Processing Letters.

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

Wenyu Yang, Dakun Yang, Ye-tian Fan, 2014, ISNN.

A Modifled Gradient-Based Neuro-Fuzzy Learning Algorithm for Pi-Sigma Network Based on First-Order Takagi-Sugeno System

Yan Liu, Jie Yang, Wei Wu, 2014 .

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

Yan Liu, Chao Zhang, Dakun Yang, 2018, Neurocomputing.

A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models

Wei Wu, Yan Liu, Jian Wang, 2014, Neurocomputing.

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

Xiao Liu, Jian-Huang Lai, Xiaohua Xie, 2018, PRCV.

L1/2 regularization learning for smoothing interval neural networks: Algorithms and convergence analysis

Yan Liu, Dakun Yang, Dakun Yang, 2018, Neurocomputing.

Convergence analysis of the batch gradient-based neuro-fuzzy learning algorithm with smoothing L1/2 regularization for the first-order Takagi-Sugeno system

Yan Liu, Dakun Yang, Dakun Yang, 2017, Fuzzy Sets Syst..