Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia
نویسندگان
چکیده
منابع مشابه
Dynamic versus static neural network model for rainfall forecasting at Klang River Basin, Malaysia
Rainfall is considered as one of the major components of the hydrological process; it takes significant part in evaluating drought and flooding events. Therefore, it is important to have an accurate model for rainfall forecasting. Recently, several data-driven modeling approaches have been investigated to perform such forecasting tasks as multilayer perceptron neural networks (MLP-NN). In fact,...
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ژورنال
عنوان ژورنال: Hydrology and Earth System Sciences
سال: 2012
ISSN: 1607-7938
DOI: 10.5194/hess-16-1151-2012