Denoising Laplacian multi-layer extreme learning machine

doi:10.1016/j.neucom.2015.07.058

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	Denoising Laplacian multi-layer extreme learning machine
	Zhang, Nan 1,3; Ding, Shifei 1,2,3; Shi, Zhongzhi 2
刊名	NEUROCOMPUTING
	2016
卷号	171 页码:1066-1074
关键词	Extreme learning machine Semi-supervised learning Deep learning Denoising Manifold regularization
ISSN号	0925-2312
DOI	10.1016/j.neucom.2015.07.058
英文摘要	Most of semi-supervised learning algorithms based on manifold regularization framework are surface learning algorithms, such as semi-supervised ELM (SS-ELM) and Laplacian smooth twin support vector machine (Lap-STSVM). Multi-layer extreme learning machine (ML-ELM) stacks extreme learning machine based auto encoder (ELM-AE) to create a multi-layer neural network. ML-ELM not only approximates the complicated function but also achieves fast training time. The outputs of ELM-AE are the same as inputs, which cannot guarantee the effectiveness of the learning feature representations. We put forward extreme learning machine based denoising auto encoder (ELM-DAE) which introduces local denoising criterion into ELM-AE and is used as the basic component for Denoising ML-ELM. Resembling ML-ELM, Denoising ML-ELM stacks ELM-DAE to create a deep network. And then we introduce manifold regularization into the model of Denoising ML-ELM and propose denoising Laplacian ML-ELM (Denoising Lap-ML-ELM). Denoising Lap-ML-ELM is more efficient than SS-ELM in classification and does not need to spend too much time. Experimental results show that Denoising ML-ELM and Denoising Lap-ML-ELM are effective learning algorithms. (C) 2015 Elsevier B.V. All rights reserved.
资助项目	National Natural Science Foundation of China[61379101] ; National Key Basic Research Program of China[2013CB329502]
WOS研究方向	Computer Science
语种	英语
出版者	ELSEVIER SCIENCE BV
WOS记录号	WOS:000364883900105
内容类型	期刊论文
源URL	[http://119.78.100.204/handle/2XEOYT63/9188]
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Ding, Shifei
作者单位	1.China Univ Min & Technol, Jiangsu Key Lab Mine Mech & Elect Equipment, Xuzhou 221116, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China 3.China Univ Min & Technol, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Nan,Ding, Shifei,Shi, Zhongzhi. Denoising Laplacian multi-layer extreme learning machine[J]. NEUROCOMPUTING,2016,171:1066-1074.
APA	Zhang, Nan,Ding, Shifei,&Shi, Zhongzhi.(2016).Denoising Laplacian multi-layer extreme learning machine.NEUROCOMPUTING,171,1066-1074.
MLA	Zhang, Nan,et al."Denoising Laplacian multi-layer extreme learning machine".NEUROCOMPUTING 171(2016):1066-1074.