Can artificial neural networks be used to predict the origin of ozone episodes?

Science of the Total Environment

Volumn 488-489, Issue 1, 2014, Pages 197-207

  Fontes, T ^a,b   Silva, L M ^c,d   Silva, M P ^a   Barros, N ^a   Carvalho, A C ^e  

^a UNIVERSIDADE FERNANDO PESSOA   (Portugal)

^b UNIVERSITY OF AVEIRO   (Portugal)

^c UNIVERSITY OF AVEIRO   (Portugal)

^d INEB INSTITUTO DE ENGENHARIA BIOMÉDICA   (Portugal)

^e UNIVERSIDADE NOVA DE LISBOA   (Portugal)

Author keywords

Artificial neural network; Classification; Human health; Ozone; Stratosphere; Troposphere

Indexed keywords

AIR QUALITY; CLASSIFICATION (OF INFORMATION); NEURAL NETWORKS; TOOLS; TROPOSPHERE; UPPER ATMOSPHERE;

ARTIFICIAL NEURAL NETWORK MODELING; EUROPEAN COMMUNITY; HEALTH AND ENVIRONMENT; HUMAN HEALTH; METEOROLOGICAL CONDITION; MISCLASSIFICATIONS; MULTI LAYER PERCEPTRON; STRATOSPHERE-TROPOSPHERE EXCHANGE;

OZONE;

ACTION PLAN; AIR QUALITY; ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; CLASSIFICATION; EMISSION CONTROL; HEALTH IMPACT; IMPLEMENTATION PROCESS; OZONE; POLLUTANT SOURCE; PUBLIC HEALTH; STRATOSPHERE; TROPOSPHERE;

ACCURACY; AIR QUALITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; GEOGRAPHIC DISTRIBUTION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; METEOROLOGY; OZONE LAYER; PREDICTION; PRIORITY JOURNAL; STRATOSPHERE; TROPOSPHERE;

EUROPE;

ARTIFICIAL NEURAL NETWORK; CLASSIFICATION; HUMAN HEALTH; OZONE; STRATOSPHERE; TROPOSPHERE;

AIR POLLUTANTS; AIR POLLUTION; ATMOSPHERE; ENVIRONMENTAL MONITORING; EUROPE; NEURAL NETWORKS (COMPUTER); OZONE;

EID: 84900308360     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2014.04.077     Document Type: Article

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