A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
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چکیده
منابع مشابه
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 Map (SOM) and Least Squares Support Vector Machine (LSSVM) model, referred to as the SOM-LSSVM mod...
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Successful river flow time series forecasting is a primary goal and an essential procedure required in the planning and water resources management. River flow data are important for engineers to design, build and operate various water projects and development. The monthly river flow data taken from Department of Irrigation and Drainage, Malaysia are used in this study. This study aims to develo...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2012
ISSN: 1607-7938
DOI: 10.5194/hess-16-4417-2012