Potential assessment of a neural network model with PCA/RBF approach for forecasting pollutant trends in Mong Kok urban air, Hong Kong

Environmental Research

Volumn 96, Issue 1, 2004, Pages 79-87

  Lu, Wei Zhen ^a   Wang, Wen Jian ^b   Wang, Xie Kang ^c   Yan, Sui Hang ^a   Lam, Joseph C ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

^b SHANXI UNIVERSITY   (China)

^c SICHUAN UNIVERSITY   (China)

Author keywords

Air pollution; ANN, Artificial neural networks; AQO, Air quality objective; BP, Back propagation; CO, Carbon monoxide; CPU, Central processing unit; Pollution trend; Principal component analysis; Radial basis function; Respirable suspended particulate

Indexed keywords

NITROGEN DIOXIDE; NITROGEN OXIDE;

AIR QUALITY; FORECASTING METHOD; MODELING; POLLUTION MONITORING; PRINCIPAL COMPONENT ANALYSIS; URBAN POLLUTION;

AIR POLLUTION; AIR QUALITY; ARTICLE; CITY; CONCENTRATION (PARAMETERS); COST BENEFIT ANALYSIS; DATA BASE; EVALUATION; GAS ANALYSIS; HONG KONG; NERVE CELL NETWORK; PARTICULATE MATTER; PREDICTION; PRIORITY JOURNAL;

AIR POLLUTANTS; ENVIRONMENTAL MONITORING; FORECASTING; HONG KONG; HUMANS; MODELS, THEORETICAL; NEURAL NETWORKS (COMPUTER); NITROGEN DIOXIDE;

ASIA; CHINA; EURASIA; FAR EAST; HONG KONG;

EID: 3142733594     PISSN: 00139351     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.envres.2003.11.003     Document Type: Article

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