A novel nonparametric regression ensemble for rainfall forecasting using particle swarm optimization technique coupled with artificial neural network

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5553 LNCS, Issue PART 3, 2009, Pages 49-58

  Wu, Jiansheng ^a   Chen, Enhong ^b  

^a Liuzhou Teacher College ^*  (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Neural Network Ensemble; Nonparametric Regression; Particle Swarm Optimization; Rainfall Forecasting

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONNECTION WEIGHTS; EMPIRICAL RESULTS; ENSEMBLE MEMBERS; ENSEMBLE MODELS; FORECASTING ACCURACY; FORECASTING TOOLS; NEURAL NETWORK ENSEMBLE; NONLINEAR ENSEMBLE MODEL; NONPARAMETRIC REGRESSION; PARTICLE SWARM OPTIMIZATION TECHNIQUE; PREDICTION QUALITY; PSO ALGORITHMS; RAINFALL FORECASTING;

BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; NETWORK ARCHITECTURE; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; WEATHER FORECASTING;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 69849087028     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-01513-7_6     Document Type: Conference Paper

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