A hybrid model for monthly time series forecasting
This study aims to propose a hydrological model for estimating the future value for monthly river flow. The proposed model was constructed by combining three components: i.e. Discrete Wavelet Transform (DWT), Principal Component Analysis (PCA) and Least Square Support Vector Machine (LSSVM). The fir...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Natural Sciences Publishing Co.
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/55471/ http://dx.doi.org/10.12785/amis/090622 |
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| Institution: | Universiti Teknologi Malaysia |