Preliminary study on Wilcoxon-norm-based robust extreme learning machine

doi:10.1016/j.neucom.2015.12.113

	Preliminary study on Wilcoxon-norm-based robust extreme learning machine
	Xie, Xiao-Liang; Bian, Gui-Bin; Hou, Zeng-Guang; Feng, Zhen-Qiu; Hao, Jian-Long
发表期刊	NEUROCOMPUTING
	2016-07-19
卷号	198 期号:2016 页码:20-26
文章类型	Article
摘要	The fact that the linear estimators using the rank-based Wilcoxon approach in linear regression problems are usually insensitive to outliers is known in statistics. Outliers are the data points that differ greatly from the pattern set by the bulk of the data. Inspired by this fact, Hsieh et al. introduced the Wilcoxon approach into the area of machine learning. They investigated four new learning machines, such as Wilcoxon neural network (WNN), and developed four gradient descent based backpropagation algorithms to train these learning machines. The performances of these machines are better than ordinary nonrobust neural networks in outliers exist tasks. However, it is hard to balance the learning speed and the stability of these algorithms which is inherently the drawback of gradient descent based algorithms. In this paper, a new algorithm is used to train the output weights of single-layer feedforward neural networks (SLFN) with input weights and biases being randomly chosen. This algorithm is called Wilcoxon-norm based robust extreme learning machine or WRELM for short. (C) 2016 Elsevier B.V. All rights reserved.
关键词	Extreme Learning Machine Wilcoxon Neural Network Wilcoxon-norm Based Robust Extreme Learning Machine
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.neucom.2015.12.113
关键词[WOS]	FEEDFORWARD NETWORKS ; NEURAL-NETWORKS ; REGRESSION ; CLASSIFICATION
收录类别	SCI ; ISTP
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000377230300004
引用统计	被引频次：6[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/12184
专题	复杂系统认知与决策实验室_先进机器人
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Xie, Xiao-Liang,Bian, Gui-Bin,Hou, Zeng-Guang,et al. Preliminary study on Wilcoxon-norm-based robust extreme learning machine[J]. NEUROCOMPUTING,2016,198(2016):20-26.
APA	Xie, Xiao-Liang,Bian, Gui-Bin,Hou, Zeng-Guang,Feng, Zhen-Qiu,&Hao, Jian-Long.(2016).Preliminary study on Wilcoxon-norm-based robust extreme learning machine.NEUROCOMPUTING,198(2016),20-26.
MLA	Xie, Xiao-Liang,et al."Preliminary study on Wilcoxon-norm-based robust extreme learning machine".NEUROCOMPUTING 198.2016(2016):20-26.

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