Multi layer ELM-RBF for multi-label learning

doi:10.1016/j.asoc.2016.02.039

	Multi layer ELM-RBF for multi-label learning
	Zhang, Nan 1,2; Ding, Shifei 1,2; Zhang, Jian 1,2
	2016-06-01
发表期刊	APPLIED SOFT COMPUTING
ISSN	1568-4946
卷号	43 页码:535-545
摘要	Many neural network methods such as ML-RBF and BP-MLL have been used for multi-label classification. Recently, extreme learning machine (ELM) is used as the basic elements to handle multi-label classification problem because of its fast training time. Extreme learning machine based auto encoder (ELM-AE) is a novel method of neural network which can reproduce the input signal as well as auto encoder, but it can not solve the over-fitting problem in neural networks elegantly. Introducing weight uncertainty into ELM-AE, we can treat the input weights as random variables following Gaussian distribution and propose weight uncertainty ELM-AE (WuELM-AE). In this paper, a neural network named multi layer ELM-RBF for multi-label learning (ML-ELM-RBF) is proposed. It is derived from radial basis function for multi-label learning (ML-RBF) and WuELM-AE. ML-ELM-RBF firstly stacks WuELM-AE to create a deep network, and then it conducts clustering analysis on samples features of each possible class to compose the last hidden layer. ML-ELM-RBF has achieved satisfactory results on single-label and multi-label data sets. Experimental results show that WuELM-AE and ML-ELM-RBF are effective learning algorithms. (C) 2016 Elsevier B.V. All rights reserved.
关键词	Multi-label learning Extreme learning machine Radial basis function k-Means clustering Extreme learning machine based auto encoder (ELM-AE)
DOI	10.1016/j.asoc.2016.02.039
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS记录号	WOS:000375042300043
出版者	ELSEVIER SCIENCE BV
引用统计	被引频次：49[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/8530
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, Sch Comp Sci & Technol, Xuzhou 221116, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Nan,Ding, Shifei,Zhang, Jian. Multi layer ELM-RBF for multi-label learning[J]. APPLIED SOFT COMPUTING,2016,43:535-545.
APA	Zhang, Nan,Ding, Shifei,&Zhang, Jian.(2016).Multi layer ELM-RBF for multi-label learning.APPLIED SOFT COMPUTING,43,535-545.
MLA	Zhang, Nan,et al."Multi layer ELM-RBF for multi-label learning".APPLIED SOFT COMPUTING 43(2016):535-545.