DocumentCode :
2820394
Title :
A Novel Artificial Neural Network Ensemble Model Based on K--Nearest Neighbor Nonparametric Estimation of Regression Function and Its Application for Rainfall Forecasting
Author :
Wu, Jiansheng
Author_Institution :
Dept. of Math. & Comput., Liuzhou Teachers´´ Coll., Liuzhou, China
Volume :
2
fYear :
2009
fDate :
24-26 April 2009
Firstpage :
44
Lastpage :
48
Abstract :
In this paper, a novel artificial neural network ensemble rainfall forecasting model is proposed for rainfall forecasting based on K-nearest neighbor nonparametric estimation of regression. In this model, original data set are partitioned into some different training subsets via Bagging technology. Then different ANN algorithms and different network architecture generate diverse individual neural network ensemble by training subsets. Thirdly, the partial least square regression is adopted to extract ensemble members. Finally, the K-nn nonparametric regression is used for ensemble model. Empirical results obtained reveal that the prediction by using the nonparametric ensemble model is generally better than those obtained using other models presented in this study in terms of the same evaluation measurements. Our findings reveal that the K-nn nonparametric regression ensemble model proposed here can be used as an alternative forecasting tool for a Meteorological application in achieving greater forecasting accuracy and improving prediction quality further.
Keywords :
atmospheric techniques; bagging; geophysics computing; least squares approximations; neural nets; rain; weather forecasting; ANNE rainfall forecasting method; Bagging technology; China; Guangxi; K-nearest neighbor nonparametric estimation; artificial neural network ensemble model; least square regression; meteorology application; rainfall forecasting; Artificial neural networks; Computer networks; Disaster management; Mathematical model; Meteorology; Neural networks; Predictive models; Statistical analysis; Weather forecasting; Wind forecasting; K-nearest neighbor; artificial neural network; ensemble; nonparametric;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
Type :
conf
DOI :
10.1109/CSO.2009.307
Filename :
5193894
Link To Document :
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