Estimating the spatiotemporal variation of NO2 concentration using an adaptive neuro-fuzzy inference system

Environmental Modelling and Software

Volumn 100, Issue , 2018, Pages 222-235

  Yeganeh, Bijan ^a,b   Hewson, Michael G ^c   Clifford, Samuel ^a,b   Tavassoli, Ahmad ^d   Knibbs, Luke D ^d   Morawska, Lidia ^a  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b Ctr Health Equity Res/Train/Eval   (Australia)

^c CENTRAL QUEENSLAND UNIVERSITY   (Australia)

^d UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

ANFIS; Australia; NO2; Satellite data; Spatiotemporal; Transport model

Indexed keywords

ESTIMATION; FUZZY NEURAL NETWORKS; FUZZY SYSTEMS; INFERENCE ENGINES; LAND USE; MEAN SQUARE ERROR; NITROGEN OXIDES; REGRESSION ANALYSIS; SATELLITES; SOFT COMPUTING;

ANFIS; AUSTRALIA; SATELLITE DATA; SPATIOTEMPORAL; TRANSPORT MODELING;

FUZZY INFERENCE;

ACCURACY ASSESSMENT; ALGORITHM; ATMOSPHERIC POLLUTION; CONCENTRATION (COMPOSITION); ESTIMATION METHOD; FUZZY MATHEMATICS; NITROUS OXIDE; NUMERICAL MODEL; SATELLITE DATA; SPATIAL RESOLUTION; SPATIOTEMPORAL ANALYSIS;

AUSTRALIA;

EID: 85035799017     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envsoft.2017.11.031     Document Type: Article

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