Artificial neural network model for identifying taxi gross emitter from remote sensing data of vehicle emission

Journal of Environmental Sciences

Volumn 19, Issue 4, 2007, Pages 427-431

  ZENG, Jun ^a   GUO, Hua fang ^a,b   HU, Yue ming ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b Guangdong Academy of Sciences   (China)

Author keywords

neural network; principal component analysis; regression analysis; remote sensing; vehicle emission

Indexed keywords

AIR POLLUTION; MATHEMATICAL MODELS; NEURAL NETWORKS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; VEHICLES;

BACK-PROPAGATION NEURAL NETWORK; TAXI GROSS EMITTERS; VEHICLE EMISSION;

PARTICULATE EMISSIONS;

CARBON DIOXIDE; CARBON MONOXIDE; HYDROCARBON; NITROGEN OXIDE;

AIR POLLUTION; MATHEMATICAL MODELS; NEURAL NETWORKS; PARTICULATE EMISSIONS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; REMOTE SENSING; VEHICLES;

ARTIFICIAL NEURAL NETWORK; ATMOSPHERIC POLLUTION; BACK PROPAGATION; PRINCIPAL COMPONENT ANALYSIS; REMOTE SENSING; TRAFFIC EMISSION; URBAN AREA;

AIR POLLUTANT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CAR; CHINA; ENVIRONMENTAL MONITORING; EXHAUST GAS; PRINCIPAL COMPONENT ANALYSIS;

AIR POLLUTANTS; AUTOMOBILES; CARBON DIOXIDE; CARBON MONOXIDE; CHINA; ENVIRONMENTAL MONITORING; HYDROCARBONS; NEURAL NETWORKS (COMPUTER); NITROGEN OXIDES; PRINCIPAL COMPONENT ANALYSIS; VEHICLE EMISSIONS;

ASIA; CHINA; EURASIA; FAR EAST; GUANGDONG; GUANGZHOU;

EID: 34248339205     PISSN: 10010742     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1001-0742(07)60071-0     Document Type: Article

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