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Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine
Vong, Chi-Man1; Ip, Weng-Fai2; Chiu, Chi-Chong1; Wong, Pak-Kin3
2015-06-26
Source PublicationCognitive Computation
ISSN18669956
Volume7Issue:3Pages:381-391
Abstract

Many time series problems such as air pollution index forecast require online sequential learning rather than batch learning. One of the major obstacles for air pollution index forecast is the data imbalance problem so that forecast model biases to the majority class. This paper proposes a new method called meta-cognitive online sequential extreme learning machine (MCOS-ELM) that aims to alleviate data imbalance problem and sequential learning at the same time. Under a real application of air pollution index forecast, the proposed MCOS-ELM was compared with retrained ELM and online sequential extreme learning machine in terms of accuracy and computational time. Experimental results show that MCOS-ELM has the highest efficiency and best accuracy for predicting the minority class (i.e., the most important but with fewest training samples) of air pollution level. © 2014, Springer Science+Business Media New York.

KeywordAir Pollution Meta-cognitive Strategy Online Sequential Extreme Learning Machine (Os-elm) Imbalance Data
DOI10.1007/s12559-014-9301-0
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000354884100009
The Source to ArticleEngineering Village
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Citation statistics
Cited Times [WOS]:11   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
DEPARTMENT OF ELECTROMECHANICAL ENGINEERING
Affiliation1.Department of Computer and Information Science, University of Macau, Macau, China;
2.University of Macau, Macau, China;
3.Department of Electromechanical Engineering, University of Macau, Macau, China
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Vong, Chi-Man,Ip, Weng-Fai,Chiu, Chi-Chong,et al. Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine[J]. Cognitive Computation,2015,7(3):381-391.
APA Vong, Chi-Man,Ip, Weng-Fai,Chiu, Chi-Chong,&Wong, Pak-Kin.(2015).Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine.Cognitive Computation,7(3),381-391.
MLA Vong, Chi-Man,et al."Imbalanced Learning for Air Pollution by Meta-Cognitive Online Sequential Extreme Learning Machine".Cognitive Computation 7.3(2015):381-391.
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