메뉴 건너뛰기




Volumn 33, Issue , 2013, Pages 68-80

Evolving Gaussian process models for prediction of ozone concentration in the air

Author keywords

Dynamic systems modelling; Evolving Gaussian process model; Ozone concentration prediction

Indexed keywords

ALTERNATIVE APPROACH; AUTOMATIC MEASUREMENTS; GAUSSIAN PROCESS MODELS; MEASUREMENTS OF; METEOROLOGICAL PARAMETERS; NITROGEN DIOXIDES; OZONE CONCENTRATION; SYSTEMS MODELLING;

EID: 84875926322     PISSN: 1569190X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.simpat.2012.04.005     Document Type: Article
Times cited : (58)

References (31)
  • 2
    • 36148953966 scopus 로고    scopus 로고
    • Combining principal component regression and artificial neural-networks for more accurate predictions of ground-level ozone
    • S.M. Al-Alawi, S.A. Abdul-Wahab, and C.S. Bakheit Combining principal component regression and artificial neural-networks for more accurate predictions of ground-level ozone Environmental Modelling & Software 23 2008 396 403
    • (2008) Environmental Modelling & Software , vol.23 , pp. 396-403
    • Al-Alawi, S.M.1    Abdul-Wahab, S.A.2    Bakheit, C.S.3
  • 6
    • 34548046773 scopus 로고    scopus 로고
    • Application of Gaussian processes for black-box modelling of biosystems
    • K. Ažman, and J. Kocijan Application of Gaussian processes for black-box modelling of biosystems ISA Transactions 46 4 2007 443 457
    • (2007) ISA Transactions , vol.46 , Issue.4 , pp. 443-457
    • Ažman, K.1    Kocijan, J.2
  • 7
    • 76449085807 scopus 로고    scopus 로고
    • Prediction of daily maximum ground ozone concentration using support vector machine
    • A.B. Chelani Prediction of daily maximum ground ozone concentration using support vector machine Environmental Monitoring and Assessment 162 2010 169 176
    • (2010) Environmental Monitoring and Assessment , vol.162 , pp. 169-176
    • Chelani, A.B.1
  • 8
    • 0038891993 scopus 로고    scopus 로고
    • Sparse online gaussian processes
    • L. Csató, and M. Opper Sparse online gaussian processes Neural Computation 14 3 2002 641 668
    • (2002) Neural Computation , vol.14 , Issue.3 , pp. 641-668
    • Csató, L.1    Opper, M.2
  • 9
    • 27944496859 scopus 로고    scopus 로고
    • Stochastic model to forecast ground-level ozone concentration at urban and rural areas
    • C. Dueñas, M.C. Fernández, S. Cañete, J. Carretero, and E. Liger Stochastic model to forecast ground-level ozone concentration at urban and rural areas Chemosphere 61 2005 1379 1389
    • (2005) Chemosphere , vol.61 , pp. 1379-1389
    • Dueñas, C.1    Fernández, M.C.2    Cañete, S.3    Carretero, J.4    Liger, E.5
  • 10
    • 79952246361 scopus 로고    scopus 로고
    • Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification
    • Y. Feng, W. Zhang, D. Sun, and L. Zhang Ozone concentration forecast method based on genetic algorithm optimized back propagation neural networks and support vector machine data classification Atmospheric Environment 45 2011 1979 1985
    • (2011) Atmospheric Environment , vol.45 , pp. 1979-1985
    • Feng, Y.1    Zhang, W.2    Sun, D.3    Zhang, L.4
  • 11
    • 0028748949 scopus 로고
    • Growing cell structures - A self-organizing network for unsupervised and supervised learning
    • B. Fritzke Growing cell structures-a self-organizing network for unsupervised and supervised learning Neural Networks 7 9 1994 1441 1460
    • (1994) Neural Networks , vol.7 , Issue.9 , pp. 1441-1460
    • Fritzke, B.1
  • 12
    • 44549084178 scopus 로고    scopus 로고
    • Explicit stochastic predictive control of combustion plants based on Gaussian process models
    • A. Grancharova, J. Kocijan, and T.A. Johansen Explicit stochastic predictive control of combustion plants based on Gaussian process models Automatica 44 4 2008 1621 1631
    • (2008) Automatica , vol.44 , Issue.4 , pp. 1621-1631
    • Grancharova, A.1    Kocijan, J.2    Johansen, T.A.3
  • 19
    • 49549124024 scopus 로고    scopus 로고
    • Gas-liquid separator modelling and simulation with Gaussian-process models
    • J. Kocijan, and B. Likar Gas-liquid separator modelling and simulation with Gaussian-process models Simulation Modelling Practice and Theory 16 8 2008 910 922
    • (2008) Simulation Modelling Practice and Theory , vol.16 , Issue.8 , pp. 910-922
    • Kocijan, J.1    Likar, B.2
  • 20
    • 34047160611 scopus 로고    scopus 로고
    • Fuzzy system models combined with nonlinear regression for daily ground-level ozone predictions
    • Y. Lin, and W.G. Cobourn Fuzzy system models combined with nonlinear regression for daily ground-level ozone predictions Atmospheric Environment 41 2007 3502 3513
    • (2007) Atmospheric Environment , vol.41 , pp. 3502-3513
    • Lin, Y.1    Cobourn, W.G.2
  • 21
    • 84875931252 scopus 로고    scopus 로고
    • Ozone prediction based on meteorological variables: A fuzzy inductive reasoning approach
    • A. Nebot, V. Mugica, and A. Escobet Ozone prediction based on meteorological variables: a fuzzy inductive reasoning approach Atmospheric Chemistry and Physics Discussions 8 2008 12343 12370
    • (2008) Atmospheric Chemistry and Physics Discussions , vol.8 , pp. 12343-12370
    • Nebot, A.1    Mugica, V.2    Escobet, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.