A wavelet extreme learning machine

doi:10.1007/s00521-015-1918-8

	A wavelet extreme learning machine
	Ding, Shifei 1,2; Zhang, Jian 1; Xu, Xinzheng 1; Zhang, Yanan 1
	2016-05-01
发表期刊	NEURAL COMPUTING & APPLICATIONS
ISSN	0941-0643
卷号	27 期号:4 页码:1033-1040
摘要	Extreme learning machine (ELM) has been widely used in various fields to overcome the problem of low training speed of the conventional neural network. Kernel extreme learning machine (KELM) introduces the kernel method to ELM model, which is applicable in Stat ML. However, if the number of samples in Stat ML is too small, perhaps the unbalanced samples cannot reflect the statistical characteristics of the input data, so that the learning ability of Stat ML will be influenced. At the same time, the mix kernel functions used in KELM are conventional functions. Therefore, the selection of kernel function can still be optimized. Based on the problems above, we introduce the weighted method to KELM to deal with the unbalanced samples. Wavelet kernel functions have been widely used in support vector machine and obtain a good classification performance. Therefore, to realize a combination of wavelet analysis and KELM, we introduce wavelet kernel functions to KELM model, which has a mix kernel function of wavelet kernel and sigmoid kernel, and introduce the weighted method to KELM model to balance the sample distribution, and then we propose the weighted wavelet-mix kernel extreme learning machine. The experimental results show that this method can effectively improve the classification ability with better generalization. At the same time, the wavelet kernel functions perform very well compared with the conventional kernel functions in KELM model.
关键词	Wavelet kernel function Extreme learning machine Wavelet-mix kernel function Weighted method
DOI	10.1007/s00521-015-1918-8
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] ; Basic Research Program (Natural Science Foundation) of Jiangsu Province of China[BK20130209]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000374578800019
出版者	SPRINGER
引用统计	被引频次：26[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/2XEOYT63/8586
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	Ding, Shifei,Zhang, Jian,Xu, Xinzheng,et al. A wavelet extreme learning machine[J]. NEURAL COMPUTING & APPLICATIONS,2016,27(4):1033-1040.
APA	Ding, Shifei,Zhang, Jian,Xu, Xinzheng,&Zhang, Yanan.(2016).A wavelet extreme learning machine.NEURAL COMPUTING & APPLICATIONS,27(4),1033-1040.
MLA	Ding, Shifei,et al."A wavelet extreme learning machine".NEURAL COMPUTING & APPLICATIONS 27.4(2016):1033-1040.