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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Bibliographic Details
Main Authors: Somsak Chanaim, Wilawan Srichaikul, Chongkolnee Rungruang, Songsak Sriboonchitta
Format: Journal
Published: 2019
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Online Access: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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Institution: Chiang Mai University
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Summary:© 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.