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Volumn 8154 LNAI, Issue , 2013, Pages 21-29

Application of artificial neural networks to predict the impact of traffic emissions on human health

Author keywords

air quality level; human health protection; meteorology; neural networks; traffic volumes

Indexed keywords

AIR QUALITY IMPACTS; AIR QUALITY LEVELS; HUMAN HEALTH; METEOROLOGICAL DATA; MULTI LAYER PERCEPTRON; POLLUTANT CONCENTRATION; TRAFFIC EMISSIONS; TRAFFIC VOLUMES;

EID: 84884709530     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40669-0_3     Document Type: Conference Paper
Times cited : (9)

References (17)
  • 2
    • 57449100830 scopus 로고    scopus 로고
    • Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach
    • Cai, M., Yin, Y., Xie, M.: Prediction of hourly air pollutant concentrations near urban arterials using artificial neural network approach. Transportation Research Part D: Transport and Environment 14, 32-41 (2009)
    • (2009) Transportation Research Part D: Transport and Environment , vol.14 , pp. 32-41
    • Cai, M.1    Yin, Y.2    Xie, M.3
  • 3
    • 84867870508 scopus 로고    scopus 로고
    • Identification of significant factors for air pollution levels using a neural network based knowledge discovery system
    • Chan, K.Y., Jian, L.: Identification of significant factors for air pollution levels using a neural network based knowledge discovery system. Neurocomputing 99, 564-569 (2013)
    • (2013) Neurocomputing , vol.99 , pp. 564-569
    • Chan, K.Y.1    Jian, L.2
  • 4
    • 0024861871 scopus 로고
    • Aproximation by superpositios of a sigmoidal function
    • Cybenko, G.: Aproximation by superpositios of a sigmoidal function. Math. Control Signals System 2, 303-314 (1989)
    • (1989) Math. Control Signals System , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 9
    • 84884720494 scopus 로고    scopus 로고
    • MathWorks, Release 2012, The MathWorks, Inc., Natick, Massachusetts, United States
    • MathWorks, MATLAB and Statistics Toolbox Release 2012, The MathWorks, Inc., Natick, Massachusetts, United States (2012)
    • (2012) MATLAB and Statistics Toolbox
  • 11
    • 18344366751 scopus 로고    scopus 로고
    • Modelling urban air quality using artificial neural network
    • Nagendra, S.S.M., Khare, M.: Modelling urban air quality using artificial neural network. Clean Techn. Environ. Policy 7, 116-126 (2005)
    • (2005) Clean Techn. Environ. Policy , vol.7 , pp. 116-126
    • Nagendra, S.S.M.1    Khare, M.2
  • 13
    • 0001336749 scopus 로고
    • Accelerated learning in layered neural networks
    • Solla, S., Levin, E., Fleisher, M.: Accelerated learning in layered neural networks. Complex Systems 2(6), 625-639 (1988)
    • (1988) Complex Systems , vol.2 , Issue.6 , pp. 625-639
    • Solla, S.1    Levin, E.2    Fleisher, M.3
  • 14
    • 0036468601 scopus 로고    scopus 로고
    • Atmospheric urban pollution: Applications of an artificial neural network (ANN) to the city of Perugia
    • Viotti, P., Liuti, G., Di, P.: Atmospheric urban pollution: applications of an artificial neural network (ANN) to the city of Perugia. Ecological Modelling 148, 27-46 (2002)
    • (2002) Ecological Modelling , vol.148 , pp. 27-46
    • Viotti, P.1    Liuti, G.2    Di, P.3
  • 15
    • 79851508856 scopus 로고    scopus 로고
    • Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks. Thessaloniki and Helsinki
    • Voukantsis, D., Karatzas, K., Kukkonen, J., Rasanen, T., Karppinen, A., Kolehmainen, M.: Intercomparison of air quality data using principal component analysis, and forecasting of PM10 and PM2.5 concentrations using artificial neural networks. Thessaloniki and Helsinki, Science of The Total Environment 409, 1266-1276 (2011)
    • (2011) Science of the Total Environment , vol.409 , pp. 1266-1276
    • Voukantsis, D.1    Karatzas, K.2    Kukkonen, J.3    Rasanen, T.4    Karppinen, A.5    Kolehmainen, M.6
  • 16
    • 33646472025 scopus 로고    scopus 로고
    • Adaptive nonlinear state-space modeling for the prediction of daily mean PM10 concentrations
    • Zolghadri, A., Cazaurang, F.: Adaptive nonlinear state-space modeling for the prediction of daily mean PM10 concentrations. Environmental Modelling & Software 21, 885-894 (2006)
    • (2006) Environmental Modelling & Software , vol.21 , pp. 885-894
    • Zolghadri, A.1    Cazaurang, F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.