Prediction of CO maximum ground level concentrations in the Bay of Algeciras, Spain using artificial neural networks

Chemosphere

Volumn 70, Issue 7, 2008, Pages 1190-1195

  Martin M L ^a   Turias, I J ^a   Gonzalez F J ^a   Galindo, P L ^a   Trujillo, F J ^a   Puntonet, C G ^b   Gorriz, J M ^b  

^a UNIVERSITY OF CÁDIZ   (Spain)

^b UNIVERSITY OF GRANADA   (Spain)

Author keywords

Air pollution forecasting; k nn; Multilayer perceptron; Multiple comparison

Indexed keywords

CARBON MONOXIDE; CONCENTRATION (PROCESS); MATHEMATICAL MODELS; STATISTICAL METHODS;

AIR POLLUTION FORECASTING; MULTILAYER PERCEPTRON; MULTIPLE COMPARISON;

WATER ANALYSIS;

CARBON MONOXIDE;

CARBON MONOXIDE; CONCENTRATION (PROCESS); MATHEMATICAL MODELS; STATISTICAL METHODS; WATER ANALYSIS;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CARBON MONOXIDE; CONCENTRATION (COMPOSITION); STATISTICAL ANALYSIS;

AIR POLLUTION; AMBIENT AIR; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONCENTRATION (PARAMETERS); LEARNING; MATHEMATICAL MODEL; PERCEPTRON; PREDICTION; SPAIN; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; VALIDATION STUDY;

AIR POLLUTION; CARBON MONOXIDE; ENVIRONMENTAL MONITORING; INDUSTRY; NEURAL NETWORKS (COMPUTER); SPAIN;

ALGECIRAS BAY; ANDALUCIA; CADIZ [ANDALUCIA]; EURASIA; EUROPE; SOUTHERN EUROPE; SPAIN;

EID: 37549000626     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2007.08.039     Document Type: Article

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