Adaptive neuro-fuzzy based modelling for prediction of air pollution daily levels in city of Zonguldak

Chemosphere

Volumn 63, Issue 9, 2006, Pages 1575-1582

  Yildirim, Yilmaz ^a   Bayramoglu, Mahmut ^b  

^a ZONGULDAK KARAELMAS UNIVERSITY   (Turkey)

^b GEBZE TECHNICAL UNIVERSITY   (Turkey)

Author keywords

Fuzzy logic; Modelling; Neural networks; SO2 pollution; Total suspended particle (TSP) pollution

Indexed keywords

AIR QUALITY; COMPUTER SIMULATION; FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLES (PARTICULATE MATTER); SUSPENSIONS (FLUIDS);

ADAPTIVE NEURO-FUZZY; MODELING; SO2 POLLUTION; TOTAL SUSPENDED PARTICLE (TSP) POLLUTION;

AIR POLLUTION;

SULFUR DIOXIDE;

AIR POLLUTION; AIR QUALITY; COMPUTER SIMULATION; FUZZY SETS; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICLES (PARTICULATE MATTER); SUSPENSIONS (FLUIDS);

ATMOSPHERIC POLLUTION; ELECTRICITY GENERATION; FUZZY MATHEMATICS; INDUSTRIAL EMISSION; SUSPENDED PARTICULATE MATTER; TRAFFIC EMISSION; URBAN POLLUTION;

AIR POLLUTION; AIR QUALITY; ARTICLE; ARTIFICIAL NEURAL NETWORK; LOGIC; METEOROLOGICAL PHENOMENA; MODEL; PREDICTION; SUSPENDED PARTICULATE MATTER; TURKEY (REPUBLIC); URBAN AREA; URBAN POPULATION;

EURASIA; TURKEY; ZONGULDAK;

EID: 33646424119     PISSN: 00456535     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemosphere.2005.08.070     Document Type: Article

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