Assessment and prediction of air quality using fuzzy logic and autoregressive models

Atmospheric Environment

Volumn 60, Issue , 2012, Pages 37-50

  Carbajal Hernández, José Juan ^a,b   Sánchez Fernández, Luis P ^a   Carrasco Ochoa, Jesús A ^b   Martínez Trinidad, José Fco ^b  

^a INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

^b INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

Author keywords

Air quality assessment; Artificial intelligence; Pattern processing; Prediction

Indexed keywords

AIR QUALITY ASSESSMENT; AIR QUALITY PARAMETERS; ARTIFICIAL INTELLIGENCE METHODS; ATMOSPHERIC MONITORING SYSTEMS; AUTO REGRESSIVE MODELS; COMPUTATIONAL MODEL; ENVIRONMENTAL AGENCY; ENVIRONMENTAL PROBLEMS; FUZZY INFERENCE SYSTEMS; HISTORICAL DATA; MEXICO CITY; POLLUTION LEVEL; QUALITY INDICES; REASONING PROCESS; SIMILAR MODELS; TOXIC COMPOUNDS; TOXICOLOGICAL TESTS; URBAN AREAS;

ARTIFICIAL INTELLIGENCE; FISH; FORECASTING; FUZZY LOGIC; FUZZY SYSTEMS;

AIR QUALITY;

AIR QUALITY; ARTIFICIAL INTELLIGENCE; ASSESSMENT METHOD; ATMOSPHERIC POLLUTION; CLIMATE PREDICTION; FUZZY MATHEMATICS; REGRESSION ANALYSIS;

AIR ANALYSIS; AIR MONITORING; AIR POLLUTION; AIR QUALITY; ARTICLE; AUTOREGRESSIVE MODEL; CALCULATION; FUZZY LOGIC; MATHEMATICAL MODEL; PARAMETERS; PERFORMANCE; PREDICTION; PRIORITY JOURNAL; STATISTICAL ANALYSIS; URBAN AREA;

MEXICO [NORTH AMERICA];

EQUUS ASINUS;

EID: 84863769646     PISSN: 13522310     EISSN: 18732844     Source Type: Journal    
DOI: 10.1016/j.atmosenv.2012.06.004     Document Type: Article

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