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Volumn 58, Issue 4, 2001, Pages 487-499

Forecasting nitrogen dioxide concentration in ambient air using artificial neural-networks

Author keywords

Air pollution; Neural network; Nitrogen dioxide; Prediction; Recurrent network

Indexed keywords

BACKPROPAGATION; CORRELATION METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; METEOROLOGY; MULTILAYER NEURAL NETWORKS; NITROGEN OXIDES;

EID: 0034872836     PISSN: 00207233     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207230108711345     Document Type: Article
Times cited : (7)

References (13)
  • 5
    • 0030476772 scopus 로고    scopus 로고
    • A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area
    • (1996) Environ. Pollut. , vol.92 , Issue.3 , pp. 349-357
    • Junsub, Y.1    Prybutok, R.V.2
  • 6
    • 0032146239 scopus 로고    scopus 로고
    • Artificial neural networks (the Multilayer Perceptron) - A review of applications in the atmospheric sciences
    • (1998) Atmos. Environ. , vol.32 , Issue.14-15 , pp. 2627-2636
    • Gardner, M.W.1    Dorling, S.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.