Development and assessment of neural network and multiple regression models in order to predict PM10 levels in a medium-sized Mediterranean city

Water, Air, and Soil Pollution

Volumn 182, Issue 1-4, 2007, Pages 325-334

  Papanastasiou, D K ^a   Melas, D ^a   Kioutsioukis, I ^a  

^a ARISTOTLE UNIVERSITY OF THESSALONIKI   (Greece)

Author keywords

Air pollution forecasting; Neural network model; PM10; Regression model

Indexed keywords

CONCENTRATION (PROCESS); MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLES (PARTICULATE MATTER); REGRESSION ANALYSIS; RELIABILITY THEORY;

AIR POLLUTION FORECASTING; NEURAL NETWORK MODEL; REGRESSION MODEL;

AIR QUALITY;

AIR QUALITY; CONCENTRATION (PROCESS); MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLES (PARTICULATE MATTER); REGRESSION ANALYSIS; RELIABILITY THEORY;

AIR QUALITY; AMBIENT AIR; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; FORECASTING METHOD; MEDITERRANEAN ENVIRONMENT; MODEL VALIDATION; POLLUTION MONITORING; REGRESSION ANALYSIS; SUSPENDED PARTICULATE MATTER; URBAN POLLUTION;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (PARAMETERS); ENVIRONMENTAL TEMPERATURE; EXPERIMENTAL MODEL; FORECASTING; GREECE; INDUSTRIALIZATION; METEOROLOGY; MULTIPLE REGRESSION; PARTICULATE MATTER; PREDICTION; SEASHORE; TECHNIQUE; URBAN AREA; VALIDATION PROCESS;

EURASIA; EUROPE; GREECE; MAGNESIA; SOUTHERN EUROPE; THESSALY; VOLOS;

EID: 34248390876     PISSN: 00496979     EISSN: 15732932     Source Type: Journal    
DOI: 10.1007/s11270-007-9341-0     Document Type: Article

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