River flow time series using least squares support vector machines
This paper proposes a novel hybrid forecasting model known as GLSSVM, which combines the group method of data handling (GMDH) and the least squares support vector machine (LSSVM). The GMDH is used to determine the useful input variables which work as the time series forecasting for the LSSVM model....
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications on behalf of the European Geosciences Union
2011
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| Subjects: | |
| Online Access: | http://eprints.utm.my/29635/1/RuhaidahSamsudin2011_RiverFlowTimeSeriesUsingLeastSquares.pdf |