Dakun Yang

According to our database1, Dakun Yang authored at least 17 papers between 2014 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2019
A Split-Complex Valued Gradient-Based Descent Neuro-Fuzzy Algorithm for TS System and Its Convergence.
Neural Process. Lett., 2019

2018
Smoothed <i>L</i><sub>1/2</sub> regularizer learning for split-complex valued neuro-fuzzy algorithm for TSK system and its convergence results.
J. Frankl. Inst., 2018

L<sub>1/2</sub> regularization learning for smoothing interval neural networks: Algorithms and convergence analysis.
Neurocomputing, 2018

Relaxed conditions for convergence analysis of online back-propagation algorithm with L<sub>2</sub> regularizer for Sigma-Pi-Sigma neural network.
Neurocomputing, 2018

Boundedness and convergence of split complex gradient descent algorithm with momentum and regularizer for TSK fuzzy models.
Neurocomputing, 2018

Feature Visualization Based Stacked Convolutional Neural Network for Human Body Detection in a Depth Image.
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<sub>1/2</sub> regularization for the first-order Takagi-Sugeno system.
Fuzzy Sets Syst., 2017

2016
Strong Convergence Analysis of Batch Gradient-Based Learning Algorithm for Training Pi-Sigma Network Based on TSK Fuzzy Models.
Neural Process. Lett., 2016

Extreme learning machine for interval neural networks.
Neural Comput. Appl., 2016

Face hallucination by deep traversal network.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep Representations Based on Sparse Auto-Encoder Networks for Face Spoofing Detection.
Proceedings of the Biometric Recognition - 11th Chinese Conference, 2016

2015
A Modified Learning Algorithm for Interval Perceptrons with Interval Weights.
Neural Process. Lett., 2015

Convergence of batch gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Sigma-Pi-Sigma neural networks.
Neurocomputing, 2015

WLD-TOP Based Algorithm against Face Spoofing Attacks.
Proceedings of the Biometric Recognition - 10th Chinese Conference, 2015

2014
Batch gradient method with smoothing L<sub>1/2</sub> regularization for training of feedforward neural networks.
Neural Networks, 2014

A modified gradient learning algorithm with smoothing L<sub>1/2</sub> regularization for Takagi-Sugeno fuzzy models.
Neurocomputing, 2014

A Proof of a Key Formula in the Error-Backpropagation Learning Algorithm for Multiple Spiking Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2014, 2014


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