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Yan Liu 0015
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Publications
- 2018
- [j11]Wenyu Li, Yan Liu, Jie Yang, Wei Wu:
A New Conjugate Gradient Method with Smoothing L1/2 Regularization Based on a Modified Secant Equation for Training Neural Networks. Neural Process. Lett. 48(2): 955-978 (2018) - [i1]Feng Li, Yan Liu, Khidir Shaib Mohamed, Wei Wu:
A Modified Sigma-Pi-Sigma Neural Network with Adaptive Choice of Multinomials. CoRR abs/1802.00123 (2018) - 2017
- [j10]Feng Li, Jacek M. Zurada, Yan Liu, Wei Wu:
Input Layer Regularization of Multilayer Feedforward Neural Networks. IEEE Access 5: 10979-10985 (2017) - 2015
- [j6]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) - [j5]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) - 2014
- [j4]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) - [j3]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) - 2013
- [c4]Qilin Sun, Yan Liu, Zhengxue Li, Sibo Yang, Wei Wu, Jiuwu Jin:
The Binary Output Units of Neural Network. ISNN (1) 2013: 250-257 - 2012
- [j2]Yan Liu, Jie Yang, Long Li, Wei Wu:
Negative effects of sufficiently small initialweights on back-propagation neural networks. J. Zhejiang Univ. Sci. C 13(8): 585-592 (2012) - 2010
- [j1]Wei Wu, Long Li, Jie Yang, Yan Liu:
A modified gradient-based neuro-fuzzy learning algorithm and its convergence. Inf. Sci. 180(9): 1630-1642 (2010) - [c2]Jie Yang, Long Li, Yan Liu, Jing Wang, Wei Wu:
Choice of initial bias in max-min fuzzy neural networks. IJCNN 2010: 1-3
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