UM  > 科技學院  > 土木及環境工程系
Improvement of the multilayer perceptron for air quality modelling through an adaptive learning scheme
Hoi K.I.; Yuen K.V.; Mok K.M.
2013-09
Source PublicationComputers and Geosciences
ISSN0098-3004
Volume59Pages:148-155
Abstract

Multilayer perceptron (MLP), normally trained by the offline backpropagation algorithm, could not adapt to the changing air quality system and subsequently underperforms. To improve this, the extended Kalman filter is adopted into the learning algorithm to build a time-varying multilayer perceptron (TVMLP) in this study. Application of the TVMLP to model the daily averaged concentration of the respirable suspended particulates with aerodynamic diameter of not more than 10μm (PM10) in Macau shows statistically significant improvement on the performance indicators over the MLP counterpart. In addition, the adaptive learning algorithm could also address explicitly the uncertainty of the prediction so that confidence intervals can be provided. More importantly, the adaptiveness of the TVMLP gives prediction improvement on the region of higher particulate concentrations that the public concerns. 

KeywordExtended Kalman Filter Multilayer Perceptron Pm10 Time-varying Multilayer Perceptron
DOIhttps://doi.org/10.1016/j.cageo.2013.06.002
URLView the original
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Geology
WOS SubjectComputer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS IDWOS:000323401000016
PublisherPERGAMON-ELSEVIER SCIENCE LTD, THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, ENGLAND
The Source to ArticleScopus
Fulltext Access
Citation statistics
Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF CIVIL AND ENVIRONMENTAL ENGINEERING
Corresponding AuthorHoi K.I.; Yuen K.V.; Mok K.M.
AffiliationDepartment of Civil and Environmental Engineering, University of Macau, Av. Padre Tomás Pereira Taipa, Macau SAR, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Hoi K.I.,Yuen K.V.,Mok K.M.. Improvement of the multilayer perceptron for air quality modelling through an adaptive learning scheme[J]. Computers and Geosciences,2013,59:148-155.
APA Hoi K.I.,Yuen K.V.,&Mok K.M..(2013).Improvement of the multilayer perceptron for air quality modelling through an adaptive learning scheme.Computers and Geosciences,59,148-155.
MLA Hoi K.I.,et al."Improvement of the multilayer perceptron for air quality modelling through an adaptive learning scheme".Computers and Geosciences 59(2013):148-155.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Hoi K.I.]'s Articles
[Yuen K.V.]'s Articles
[Mok K.M.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Hoi K.I.]'s Articles
[Yuen K.V.]'s Articles
[Mok K.M.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Hoi K.I.]'s Articles
[Yuen K.V.]'s Articles
[Mok K.M.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.