Combining principal component regression and artificial neural networks for more accurate predictions of ground-level ozone

Environmental Modelling and Software

Volumn 23, Issue 4, 2008, Pages 396-403

  Al Alawi, Saleh M ^a   Abdul Wahab, Sabah A ^a   Bakheit, Charles S ^a  

^a SULTAN QABOOS UNIVERSITY   (Oman)

Author keywords

Artificial neural network; Combining forecast; Principal component regression; Tropospheric ozone concentration

Indexed keywords

ATMOSPHERIC CHEMISTRY; COMPUTER SIMULATION; MATHEMATICAL MODELS; METEOROLOGY; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; TROPOSPHERE;

COMBINING FORECAST; PRINCIPAL COMPONENT REGRESSION; TROPOSPHERIC OZONE CONCENTRATION;

OZONE;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC MODELING; METEOROLOGY; OZONE; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; RESIDENTIAL LOCATION; TRAFFIC EMISSION; TROPOSPHERE;

EID: 36148953966     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2006.08.007     Document Type: Article

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