RBF neural network model based on improved PSO for predicting river runoff

2010 International Conference on Intelligent Computation Technology and Automation, ICICTA 2010

Volumn 2, Issue , 2010, Pages 968-971

  Guo, Wenxian ^a   Wang, Hongxiang ^a   Xu, Jianxin ^a   Zhang, Yunfeng ^a  

^a NORTH CHINA UNIVERSITY OF WATER RESOURCES AND ELECTRIC POWER   (China)

Author keywords

Improved particle swarm optimization; Prediction model; RBF neural network; River runoff

Indexed keywords

ANALYSIS AND SIMULATION; FASTER CONVERGENCE; GENERALIZATION PERFORMANCE; IMPROVED PARTICLE SWARM OPTIMIZATION; IMPROVED PSO; INERTIA FACTOR; NONLINEAR PROBLEMS; OVERFITTING; PREDICTION ACCURACY; PREDICTION MODEL; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF NEURAL NETWORK; RIVER RUNOFF; RIVER RUNOFFS; YANGTZE RIVER; YICHANG HYDROLOGICAL STATION;

COMPUTER SIMULATION; FORECASTING; LINEARIZATION; MATHEMATICAL MODELS; PARTICLE SWARM OPTIMIZATION (PSO); RADIAL BASIS FUNCTION NETWORKS; REACTIVE POWER; RIVERS; RUNOFF;

NEURAL NETWORKS;

EID: 77955677178     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2010.504     Document Type: Conference Paper

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