Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines
Forecasting of air pollution is a popular and important topic in recent years due to the health impact caused by air pollution. It is necessary to build an early warning system, which provides forecast and also alerts health alarm to local inhabitants by medical practitioners and the local governmen...
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Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2012/518032 |
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doaj-7b623a1fc28340c6bb08d697ca49ff802020-11-24T21:45:15ZengHindawi LimitedJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/518032518032Short-Term Prediction of Air Pollution in Macau Using Support Vector MachinesChi-Man Vong0Weng-Fai Ip1Pak-kin Wong2Jing-yi Yang3Department of Computer and Information Science, University of Macau, MacauFaculty of Science and Technology, University of Macau, MacauDepartment of Electromechanical Engineering, University of Macau, MacauDepartment of Computer and Information Science, University of Macau, MacauForecasting of air pollution is a popular and important topic in recent years due to the health impact caused by air pollution. It is necessary to build an early warning system, which provides forecast and also alerts health alarm to local inhabitants by medical practitioners and the local government. Meteorological and pollutions data collected daily at monitoring stations of Macau can be used in this study to build a forecasting system. Support vector machines (SVMs), a novel type of machine learning technique based on statistical learning theory, can be used for regression and time series prediction. SVM is capable of good generalization while the performance of the SVM model is often hinged on the appropriate choice of the kernel.http://dx.doi.org/10.1155/2012/518032 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Chi-Man Vong Weng-Fai Ip Pak-kin Wong Jing-yi Yang |
spellingShingle |
Chi-Man Vong Weng-Fai Ip Pak-kin Wong Jing-yi Yang Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines Journal of Control Science and Engineering |
author_facet |
Chi-Man Vong Weng-Fai Ip Pak-kin Wong Jing-yi Yang |
author_sort |
Chi-Man Vong |
title |
Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines |
title_short |
Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines |
title_full |
Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines |
title_fullStr |
Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines |
title_full_unstemmed |
Short-Term Prediction of Air Pollution in Macau Using Support Vector Machines |
title_sort |
short-term prediction of air pollution in macau using support vector machines |
publisher |
Hindawi Limited |
series |
Journal of Control Science and Engineering |
issn |
1687-5249 1687-5257 |
publishDate |
2012-01-01 |
description |
Forecasting of air pollution is a popular and important topic in recent years due to the health impact caused by air pollution. It is necessary to build an early warning system, which provides forecast and also alerts health alarm to local inhabitants by medical practitioners and the local government. Meteorological and pollutions data collected daily at monitoring stations of Macau can be used in this study to build a forecasting system. Support vector machines (SVMs), a novel type of machine learning technique based on statistical learning theory, can be used for regression and time series prediction. SVM is capable of good generalization while the performance of the SVM model is often hinged on the appropriate choice of the kernel. |
url |
http://dx.doi.org/10.1155/2012/518032 |
work_keys_str_mv |
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1725905589779824640 |