DocumentCode :
2216814
Title :
The hydrological time series forecasting based on multi-model combination
Author :
Wan, Dingsheng ; Li, Shijin ; Li, Wei
Author_Institution :
Coll. of Comput. & Inf., HoHai Univ., Nanjing, China
Volume :
1
fYear :
2010
fDate :
20-22 Aug. 2010
Abstract :
Considering the current forecasting model had limited understanding of watershed hydro meteorological and a single model could hardly reflect the objective laws, by theoretical studying and practicing of combined forecasting method, the hydrological time series forecasting method based on multi-model combination was proposed. This method makes up for the lack of a single model, and makes full use of existing information resources to obtain optimal prediction. In the actual application, combined forecasting method was better than the traditional one.
Keywords :
forecasting theory; hydrological techniques; meteorology; time series; water resources; combined forecasting method; forecasting model; hydrological time series forecasting; information resources; multimodel combination; optimal prediction; theoretical studying; watershed hydro meteorological; Approximation methods; Artificial neural networks; Equations; Regression analysis; Yttrium; combined forecasting; data mining; neural network; optimal weighting; sub-hybrid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
Conference_Location :
Chengdu
ISSN :
2154-7491
Print_ISBN :
978-1-4244-6539-2
Type :
conf
DOI :
10.1109/ICACTE.2010.5579073
Filename :
5579073
Link To Document :
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