PSO-BP neural network model for predicting water temperature in the middle of the Yangtze River

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

Volumn 2, Issue , 2010, Pages 951-954

  Guo, Wenxian ^a   Wang, Hongxiang ^a   Xu, Jianxin ^a   Dong, Wensheng ^a  

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

Author keywords

BP neural network; Particle swarm optimization; Prediction model; River temperature

Indexed keywords

BP NEURAL NETWORK MODEL; BP NEURAL NETWORKS; GENERALIZATION PERFORMANCE; INITIAL WEIGHTS; LOCAL MINIMA PROBLEMS; OVERFITTING; PARTICLE SWARM; PREDICTION MODEL; PREDICTION PRECISION; RIVER TEMPERATURE; WATER TEMPERATURES; YANGTZE RIVER; YICHANG HYDROLOGICAL STATION;

ENVIRONMENTAL IMPACT; ENVIRONMENTAL IMPACT ASSESSMENTS; FORECASTING; MATHEMATICAL MODELS; PARTICLE SWARM OPTIMIZATION (PSO); RIVERS;

NEURAL NETWORKS;

EID: 77955677179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICICTA.2010.501     Document Type: Conference Paper

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