A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
Successful river flow forecasting is a major goal and an essential procedure that is necessary in water resource planning and management. There are many forecasting techniques used for river flow forecasting. This study proposed a hybrid model based on a combination of two methods: Self Organizing M...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/46488/ https://dx.doi.org/10.5194/hess-16-4417-2012 |
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| Institution: | Universiti Teknologi Malaysia |