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Predicting prices of agricultural commodities in Thailandusing combined approach emphasizing on data pre-processing technique |
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| รหัสดีโอไอ | |
| Creator | Thoranin Sujjaviriyasup |
| Title | Predicting prices of agricultural commodities in Thailandusing combined approach emphasizing on data pre-processing technique |
| Publisher | Research and Development Office, Prince of Songkla University |
| Publication Year | 2561 |
| Journal Title | Songklanakarin Journal of Science and Technology |
| Journal Vol. | 40 |
| Journal No. | 1 |
| Page no. | 75 |
| Keyword | combined approach, agricultural commodity price, discrete wavelet transform, ARIMA, support vector regression |
| URL Website | http://rdo.psu.ac.th/sjstweb/index.php |
| ISSN | 0125-3395 |
| Abstract | In this research, a combined approach emphasizing on data pre-processing technique is developed to forecast prices ofagricultural commodities in Thailand. The future prices play significant role in decision making to cultivate crops in next year.The proposed model takes ability of MODWT to decompose original time series data into more stable and explicit subseries, andSVR model to formulate complex function of forecasting. The experimental results indicated that the proposed modeloutperforms traditional forecasting models based on MAE and MAPE criteria. Furthermore, the proposed model reveals that it isable to be a useful forecasting tool for prices of agricultural commodities in Thailand. |
