Application of hybrid RBF neural network ensemble model based onwavelet support vector machine regression in rainfall time series forecasting

Proceedings of the 2012 5th International Joint Conference on Computational Sciences and Optimization, CSO 2012

Volumn , Issue , 2012, Pages 867-871

  Wang, Lingzhi ^a   Wu, Jiansheng ^b  

^a Liuzhou Teachers College ^*  (China)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Ensemble; Radial Basis Function Neural Network; Rainfall forecasting; Wavelet Support Vector Machine Regression

Indexed keywords

DATA SETS; ENSEMBLE; ENSEMBLE MODELS; ENSEMBLE TECHNIQUES; GUANGXI; NEURAL NETWORK ENSEMBLES; PARTIAL LEAST SQUARE (PLS); RADIAL BASIS FUNCTION NEURAL NETWORKS; RAINFALL FORECASTING; RAINFALL PREDICTION; RBF NEURAL NETWORK; SUPPORT VECTOR MACHINE REGRESSIONS; TIME SERIES FORECASTING; TRAINING SETS; WAVELET SUPPORT VECTOR MACHINES;

NEURAL NETWORKS; OPTIMIZATION; RADIAL BASIS FUNCTION NETWORKS; RAIN; REGRESSION ANALYSIS; SUPPORT VECTOR MACHINES;

FORECASTING;

EID: 84867907421     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSO.2012.195     Document Type: Conference Paper

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