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Volumn 17, Issue 3, 2002, Pages 219-228

Assessment and prediction of tropospheric ozone concentration levels using artificial neural networks

Author keywords

Artificial neural networks; Kuwait; Ozone

Indexed keywords

AIR POLLUTION; AIR QUALITY; ATMOSPHERIC HUMIDITY; COMPUTER SIMULATION; DIFFUSION; MATHEMATICAL MODELS; METEOROLOGY; NEURAL NETWORKS; NITROGEN OXIDES; OZONE; SOLAR RADIATION; SULFUR DIOXIDE;

EID: 0036224943     PISSN: 13648152     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1364-8152(01)00077-9     Document Type: Article
Times cited : (205)

References (30)
  • 12
    • 0001772427 scopus 로고    scopus 로고
    • An investigation into the importance of meteorology in determining surface ozone concentrations: A neural network approach
    • University of Leeds, Leeds School of Geography, GMAP Ltd, Geoinformation International, Elsevier Science
    • (1996) First International Conference on GeoComputation , pp. 17-19
    • Gardner, M.W.1
  • 13
    • 0001867238 scopus 로고
    • Interpreting neural-network connection weights
    • (1991) AI Expert , vol.6 , Issue.7 , pp. 47-51
    • Garson, G.D.1
  • 30
    • 0008871365 scopus 로고
    • Computer modelling of air pollution, science, art or fiction: Air pollution II
    • Computational Publications, Southampton, Boston
    • (1994) Computer Simulation , vol.1
    • Zannetti, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.