Prediction of ozone concentration in tropospheric levels using artificial neural networks and support vector machine at Rio de Janeiro, Brazil

Atmospheric Environment

Volumn 98, Issue , 2014, Pages 98-104

  Luna, A S ^a   Paredes, M L L ^a   de Oliveira, G C G ^a   Correa S M ^a  

^a STATE UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

Air pollution; Artificial neural networks; Ozone; Support vector machine; Troposphere

Indexed keywords

AIR POLLUTION; AIR QUALITY; CARBON MONOXIDE; DATA HANDLING; FORECASTING; MEAN SQUARE ERROR; NEURAL NETWORKS; NITROGEN OXIDES; OZONE; POLLUTION; REGRESSION ANALYSIS; STATISTICAL MECHANICS; SUN; TROPOSPHERE; COMPLEX NETWORKS; DATA FLOW ANALYSIS; NITROGEN; QUALITY CONTROL; WIND;

AUTOMATIC MONITORING STATIONS; COEFFICIENT OF DETERMINATION; EXPLORATORY DATA ANALYSIS; GLOBAL SOLAR RADIATION (GSR); METEOROLOGICAL FACTORS; NON-LINEAR REGRESSION METHOD; NONLINEAR REGRESSION TECHNIQUE; ROOT MEAN SQUARE ERRORS;

SUPPORT VECTOR MACHINES;

CARBON MONOXIDE; NITRIC OXIDE; NITROGEN DIOXIDE; NITROGEN OXIDE; OZONE;

AIR QUALITY; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (COMPOSITION); OZONE; POLLUTION MONITORING; STATISTICAL ANALYSIS; TROPOSPHERE; ATMOSPHERIC POLLUTION; DATA SET; EMISSION; MACHINERY; METEOROLOGY; NONLINEARITY; OXIDE; PREDICTION; SOLAR RADIATION; TOPOGRAPHY;

AIR POLLUTANT; AIR QUALITY; AMBIENT AIR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BRAZIL; CHEMOMETRIC ANALYSIS; ENVIRONMENTAL PARAMETERS; METEOROLOGICAL PHENOMENA; METEOROLOGY; MOISTURE; PRIORITY JOURNAL; SCALAR WIND SPEED; SOLAR RADIATION; SUPPORT VECTOR MACHINE; TEMPERATURE; TROPOSPHERE; VALIDATION PROCESS; CONTROLLED STUDY; HUMAN; MONITORING; PREDICTION; TOPOGRAPHY;

BRAZIL; RIO DE JANEIRO [BRAZIL];

EID: 84906761463     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2014.08.060     Document Type: Article

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