A novel artificial neural network ensemble model based on K-nearest neighbor nonparametric estimation of regression function and its application for rainfall forecasting

Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009

Volumn 2, Issue , 2009, Pages 44-48

  Wu, Jiansheng ^a  

^a Computer Liuzhou Teachers College ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

ANN ALGORITHM; ARTIFICIAL NEURAL NETWORK ENSEMBLES; BAGGING TECHNOLOGY; DATA SETS; EMPIRICAL RESULTS; ENSEMBLE MEMBERS; ENSEMBLE MODELS; FORECASTING ACCURACY; FORECASTING TOOLS; K-NEAREST NEIGHBORS; NEURAL NETWORK ENSEMBLES; NON-PARAMETRIC; NON-PARAMETRIC ESTIMATIONS; NON-PARAMETRIC REGRESSION; PARTIAL LEAST SQUARE REGRESSION; PREDICTION QUALITY; RAINFALL FORECASTING; REGRESSION FUNCTION; TRAINING SUBSETS;

BACKPROPAGATION; COMBINED SEWERS; NEURAL NETWORKS; REGRESSION ANALYSIS;

WEATHER FORECASTING;

EID: 70449378365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2009.307     Document Type: Conference Paper

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