Application of artificial neural networks to forecasting ice conditions of the yellow river in the inner Mongolia reach

Journal of Hydrologic Engineering

Volumn 13, Issue 9, 2008, Pages 811-816

  Tao, Wang ^a   Kailin, Yang ^a   Yongxin, Guo ^a  

^a CHINA INSTITUTE OF WATER RESOURCES AND HYDROPOWER RESEARCH   (China)

Author keywords

Algorithms; China; Forecasting; Ice; Neural networks; Rivers; Water temperature

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; CHLORINE COMPOUNDS; DISASTER PREVENTION; ELECTRIC FAULT LOCATION; FOOD PROCESSING; FORECASTING; ICE; KETONES; LIGHTNING; LINEAR REGRESSION; REGRESSION ANALYSIS; RIVERS; WEIGHT CONTROL;

ACCURATE PREDICTION; ALGORITHMS; ANN MODELING; ARTIFICIAL NEURAL NETWORKS; CHINA; FEED-FORWARD BACK-PROPAGATION; ICE CONDITIONS; INNER MONGOLIA; LEVENBERG-MARQUARDT ALGORITHMS; MEANDERING RIVERS; MULTIPLE LINEAR REGRESSION MODELS; WATER TEMPERATURE; YELLOW RIVER;

NEURAL NETWORKS;

ALGORITHM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; FORECASTING METHOD; ICE; PREDICTION; REGRESSION ANALYSIS; SIMULATION; WATER TEMPERATURE;

ASIA; CHINA; EURASIA; FAR EAST; NEI MONGGOL; YELLOW RIVER;

EID: 50049131375     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(ASCE)1084-0699(2008)13:9(811)     Document Type: Article

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