Forecasting GDP in ASIAN countries using relevant vector machines

© 2019 by the Mathematical Association of Thailand. All rights reserved. The GDP is very important for measure the economics growth in country, in this paper use the relevance vector machine(RVM) to predict the GDP in some ASIAN country (Thailand, Malaysia and Singapore) and compare with the autoreg...

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Main Authors: Somsak Chanaim, Wilawan Srichaikul, Chongkolnee Rungruang, Songsak Sriboonchitta
格式: 雜誌
出版: 2019
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spelling th-cmuir.6653943832-656942019-08-05T04:39:41Z Forecasting GDP in ASIAN countries using relevant vector machines Somsak Chanaim Wilawan Srichaikul Chongkolnee Rungruang Songsak Sriboonchitta Mathematics © 2019 by the Mathematical Association of Thailand. All rights reserved. The GDP is very important for measure the economics growth in country, in this paper use the relevance vector machine(RVM) to predict the GDP in some ASIAN country (Thailand, Malaysia and Singapore) and compare with the autoregressive model (AR(p)). From the result show that RVM dominate the AP(p) model by measuring the error (MAE, MAPE, MSE and RMSE) from both training data and validation data. 2019-08-05T04:39:41Z 2019-08-05T04:39:41Z 2019-01-01 Journal 16860209 2-s2.0-85068484033 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068484033&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/65694
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
Somsak Chanaim
Wilawan Srichaikul
Chongkolnee Rungruang
Songsak Sriboonchitta
Forecasting GDP in ASIAN countries using relevant vector machines
description © 2019 by the Mathematical Association of Thailand. All rights reserved. The GDP is very important for measure the economics growth in country, in this paper use the relevance vector machine(RVM) to predict the GDP in some ASIAN country (Thailand, Malaysia and Singapore) and compare with the autoregressive model (AR(p)). From the result show that RVM dominate the AP(p) model by measuring the error (MAE, MAPE, MSE and RMSE) from both training data and validation data.
format Journal
author Somsak Chanaim
Wilawan Srichaikul
Chongkolnee Rungruang
Songsak Sriboonchitta
author_facet Somsak Chanaim
Wilawan Srichaikul
Chongkolnee Rungruang
Songsak Sriboonchitta
author_sort Somsak Chanaim
title Forecasting GDP in ASIAN countries using relevant vector machines
title_short Forecasting GDP in ASIAN countries using relevant vector machines
title_full Forecasting GDP in ASIAN countries using relevant vector machines
title_fullStr Forecasting GDP in ASIAN countries using relevant vector machines
title_full_unstemmed Forecasting GDP in ASIAN countries using relevant vector machines
title_sort forecasting gdp in asian countries using relevant vector machines
publishDate 2019
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85068484033&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/65694
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