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Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization

文献类型：期刊论文

作者Jiang, Xinlong1,3; Liu, Junfa1; Chen, Yiqiang1; Liu, Dingjun2; Gu, Yang1,3; Chen, Zhenyu1,3
刊名NEURAL COMPUTING & APPLICATIONS
出版日期2016
卷号27期号:1页码:215-225
关键词Feature adaptive Online Sequential Extreme Learning Machine (OS-ELM) Lifelong Indoor localization
ISSN号0941-0643
DOI10.1007/s00521-014-1714-x
英文摘要Wi-Fi-based indoor localization with high capability and feasibility needs to implement lifelong online learning mechanism. However, the characteristic of Wi-Fi is wide variability, which lies in not only the fluctuation of signal strength value, but also the increase or decrease in the number of access points (APs). The traditional algorithms are effective for signal fluctuation, but cannot handle the dimension-changing problem of features caused by increase and decrease in APs' number. To solve this problem, we propose a Feature Adaptive Online Sequential Extreme Learning Machine (FA-OSELM) algorithm. It can transfer the original model to a new one with a small number of data with new features, so as to make the new model suitable for the new feature dimension. The experiments show that the FA-OSELM can get higher accuracy with a small amount of new data, and it is an effective method to make lifelong indoor localization practical.
资助项目Natural Science Foundation of China[61173066] ; Natural Science Foundation of China[41201410] ; Strategic Emerging Industry Development Special Funds of Guangdong Province[2011912030]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000369995700023
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/8756]  
专题中国科学院计算技术研究所期刊论文_英文
通讯作者Jiang, Xinlong
作者单位1.Chinese Acad Sci, Inst Comp Technol, Beijing Key Lab Mobile Comp & Pervas Device, Beijing 100190, Peoples R China
2.Xiangtan Univ, Xiangtan 411105, Hunan, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Jiang, Xinlong,Liu, Junfa,Chen, Yiqiang,et al. Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization[J]. NEURAL COMPUTING & APPLICATIONS,2016,27(1):215-225.
APA Jiang, Xinlong,Liu, Junfa,Chen, Yiqiang,Liu, Dingjun,Gu, Yang,&Chen, Zhenyu.(2016).Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization.NEURAL COMPUTING & APPLICATIONS,27(1),215-225.
MLA Jiang, Xinlong,et al."Feature Adaptive Online Sequential Extreme Learning Machine for lifelong indoor localization".NEURAL COMPUTING & APPLICATIONS 27.1(2016):215-225.

入库方式： OAI收割

来源：计算技术研究所

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