Forecast of daily mean, maximum and minimum temperature time series by three artificial neural network methods

Meteorological Applications

Volumn 15, Issue 4, 2008, Pages 431-445

  Ustaoglu, B ^a   Cigizoglu, H K ^a   Karaca, M ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Daily temperature time series; Feed forward back propagation; Generalized regression neural network; Multiple linear regression; Radial basis function

Indexed keywords

AGRICULTURAL ROBOTS; AGRICULTURE; BACKPROPAGATION; FORECASTING; FUNCTIONS; LINEAR REGRESSION; MEAN SQUARE ERROR; TIME SERIES; WATER RESOURCES;

DAILY TEMPERATURES; FEED-FORWARD BACK PROPAGATION; GENERALIZED REGRESSION NEURAL NETWORKS; MULTIPLE LINEAR REGRESSIONS; RADIAL BASIS FUNCTIONS;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CLIMATE EFFECT; ERROR ANALYSIS; HIGH TEMPERATURE; LOW TEMPERATURE; PREDICTION; REGRESSION ANALYSIS; TIME SERIES ANALYSIS; WEATHER FORECASTING;

TURKEY;

EID: 62749207101     PISSN: 13504827     EISSN: 14698080     Source Type: Journal    
DOI: 10.1002/met.83     Document Type: Article

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