Comment on ‘Rainfall and runoff forecasting with SSA-SVM approach’
نویسندگان
چکیده
منابع مشابه
Rainfall time series forecasting based on Modular RBF Neural Network model coupled with SSA and PLS
Accurate forecast of rainfall has been one of the most important issues in hydrological research. Due to rainfall forecasting involves a rather complex nonlinear data pattern; there are lots of novel forecasting approaches to improve the forecasting accuracy. In this paper, a new approach using the Modular Radial Basis Function Neural Network (M–RBF–NN) technique is presented to improve rainfal...
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One of the principal issues related to hydrologic models for prediction of runoff is the estimation of extreme values (floods). It is well understood that unless the models capture the dynamics of rainfall-runoff process, the improvement in prediction of such extremes is far from reality. In this paper, it is proposed to develop a dual (combined and paralleled) artificial neural network (D-ANN)...
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Social networks, blogs, and forums bring users together to build a community usually based on a system of communication through comments. Based on the degree of complexity, these systems may or may not have a moderator whose primary purpose is to remove spam or abusive comments within these systems. When a moderator is used, it is most often a human, whose time and energy must be exerted to rea...
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Weather is certainly the most important factor over which man has no control, and hence it has created dominance on the success or the failure of agricultural enterprises. Most important efforts since long time have been on weather and rain forecasting. However, the unpredictable nature of rainfall has not changed. Meteorologists can neither solve nor evaluate the problem of effective rainfall ...
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ژورنال
عنوان ژورنال: Journal of Hydroinformatics
سال: 2002
ISSN: 1464-7141,1465-1734
DOI: 10.2166/hydro.2002.0020