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Volumn 81, Issue 2, 2006, Pages 124-139

Prediction of daily maximum ozone concentrations from meteorological conditions using a two-stage neural network

Author keywords

K means clustering; Meteorological regimes; Multilayer perceptron neural network; Self organizing map neural network

Indexed keywords

AIR POLLUTION; COMPUTER SIMULATION; MATHEMATICAL MODELS; MULTILAYER NEURAL NETWORKS; OZONE; SELF ORGANIZING MAPS;

EID: 33745714336     PISSN: 01698095     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.atmosres.2005.11.007     Document Type: Article
Times cited : (43)

References (22)
  • 2
    • 0035673791 scopus 로고    scopus 로고
    • Spatial analysis of stream invertebrates distribution in the Adour-Garonne drainage basin (France), using Kohonen self organizing maps
    • Céréghino R., Giraudel J.L., and Compin A. Spatial analysis of stream invertebrates distribution in the Adour-Garonne drainage basin (France), using Kohonen self organizing maps. Ecological Modelling 146 (2001) 167-180
    • (2001) Ecological Modelling , vol.146 , pp. 167-180
    • Céréghino, R.1    Giraudel, J.L.2    Compin, A.3
  • 3
    • 0032145424 scopus 로고    scopus 로고
    • Modeling the effects of meteorology on ozone in Houston using cluster analysis and generalized additive models
    • Davis J.M., Eder B.K., Nychka D., and Yang Q. Modeling the effects of meteorology on ozone in Houston using cluster analysis and generalized additive models. Atmospheric Environment 32 (1998) 2505-2520
    • (1998) Atmospheric Environment , vol.32 , pp. 2505-2520
    • Davis, J.M.1    Eder, B.K.2    Nychka, D.3    Yang, Q.4
  • 4
    • 0000950758 scopus 로고
    • An automated classification scheme designed to better elucidate the dependence of ozone on meteorology
    • Eder B.K., Davis J.M., and Bloomfield P. An automated classification scheme designed to better elucidate the dependence of ozone on meteorology. Journal of Applied Meteorology 33 (1994) 1182-1199
    • (1994) Journal of Applied Meteorology , vol.33 , pp. 1182-1199
    • Eder, B.K.1    Davis, J.M.2    Bloomfield, P.3
  • 5
    • 0033081112 scopus 로고    scopus 로고
    • Neural network modelling of hourly NOx and NO2 concentrations in urban air in London
    • Gardner M.W., and Dorling S.R. Neural network modelling of hourly NOx and NO2 concentrations in urban air in London. Atmospheric Environment 33 (1999) 709-719
    • (1999) Atmospheric Environment , vol.33 , pp. 709-719
    • Gardner, M.W.1    Dorling, S.R.2
  • 6
    • 0033962994 scopus 로고    scopus 로고
    • Statistical surface ozone models: an improved methodology to account for non-linear behaviour
    • Gardner M.W., and Dorling S.R. Statistical surface ozone models: an improved methodology to account for non-linear behaviour. Atmospheric Environment 34 (2000) 21-34
    • (2000) Atmospheric Environment , vol.34 , pp. 21-34
    • Gardner, M.W.1    Dorling, S.R.2
  • 7
    • 0035673991 scopus 로고    scopus 로고
    • A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination
    • Giraudel J.L., and Lek S. A comparison of self-organizing map algorithm and some conventional statistical methods for ecological community ordination. Ecological Modelling 146 (2001) 329-339
    • (2001) Ecological Modelling , vol.146 , pp. 329-339
    • Giraudel, J.L.1    Lek, S.2
  • 9
    • 0034739912 scopus 로고    scopus 로고
    • Neural networks and periodic components used in air quality forecasting
    • Kolehmainen M., Martikainen H., and Ruuskanen J. Neural networks and periodic components used in air quality forecasting. Atmospheric Environment 35 (2001) 815-825
    • (2001) Atmospheric Environment , vol.35 , pp. 815-825
    • Kolehmainen, M.1    Martikainen, H.2    Ruuskanen, J.3
  • 11
    • 0035986515 scopus 로고    scopus 로고
    • Diagnosing reservoir water quality using self-organizing maps and fuzzy theory
    • Lu R., and Lo S. Diagnosing reservoir water quality using self-organizing maps and fuzzy theory. Water Research 36 (2002) 2265-2274
    • (2002) Water Research , vol.36 , pp. 2265-2274
    • Lu, R.1    Lo, S.2
  • 13
    • 0028318337 scopus 로고
    • Using artificial neural networks for solving chemical problems: Part II. Kohonen self-organising feature maps and Hopfield networks
    • Melssen W.J., Smits J.R.M., Buydens L.M.C., and Kateman G. Using artificial neural networks for solving chemical problems: Part II. Kohonen self-organising feature maps and Hopfield networks. Chemometrics and Intelligent Laboratory Systems 23 (1994) 267-291
    • (1994) Chemometrics and Intelligent Laboratory Systems , vol.23 , pp. 267-291
    • Melssen, W.J.1    Smits, J.R.M.2    Buydens, L.M.C.3    Kateman, G.4
  • 14
    • 0742272019 scopus 로고    scopus 로고
    • Patterns of PCDDs and PCDFs in human milk and food and their characterization by artificial neural networks
    • Nadal N., Espinosa G., Schuhmacher M., and Domingo J.L. Patterns of PCDDs and PCDFs in human milk and food and their characterization by artificial neural networks. Chemosphere 54 (2004) 1375-1382
    • (2004) Chemosphere , vol.54 , pp. 1375-1382
    • Nadal, N.1    Espinosa, G.2    Schuhmacher, M.3    Domingo, J.L.4
  • 15
    • 0030572619 scopus 로고    scopus 로고
    • Heuristic and optimization approaches to extending the Kohonen self organizing algorithm
    • Nour M.A., and Madey G.R. Heuristic and optimization approaches to extending the Kohonen self organizing algorithm. European Journal of Operational Research 93 (1996) 428-448
    • (1996) European Journal of Operational Research , vol.93 , pp. 428-448
    • Nour, M.A.1    Madey, G.R.2
  • 16
    • 0035677666 scopus 로고    scopus 로고
    • Modelling population dynamics of aquatic insets with artificial neural network
    • Obach M., Wagner R., Werner H., and Schmidt H. Modelling population dynamics of aquatic insets with artificial neural network. Ecological Modelling 146 (2001) 207-217
    • (2001) Ecological Modelling , vol.146 , pp. 207-217
    • Obach, M.1    Wagner, R.2    Werner, H.3    Schmidt, H.4
  • 20
    • 0036468601 scopus 로고    scopus 로고
    • Atmospheric urban pollution: applications of an artificial neural network (ANN) to the city of Perugia
    • Viotti P., Liuti G., and Genova P.D. Atmospheric urban pollution: applications of an artificial neural network (ANN) to the city of Perugia. Ecological Modelling 48 (2002) 27-46
    • (2002) Ecological Modelling , vol.48 , pp. 27-46
    • Viotti, P.1    Liuti, G.2    Genova, P.D.3
  • 22
    • 0030476772 scopus 로고    scopus 로고
    • A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area
    • Yi J., and Prybutok V.R. A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialized urban area. Environmental Pollution 92 (1996) 349-357
    • (1996) Environmental Pollution , vol.92 , pp. 349-357
    • Yi, J.1    Prybutok, V.R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.