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Volumn 29, Issue 6, 2006, Pages 651-661

Ozone prediction based on neural networks and Gaussian processes

Author keywords

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Indexed keywords


EID: 33846887377     PISSN: 20374909     EISSN: 18269885     Source Type: Journal    
DOI: 10.1393/ncc/i2006-10011-5     Document Type: Article
Times cited : (20)

References (16)
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    • BOŽNAR M. and MLAKAR P., Use of neural networks in the field of air pollution modelling, in 25th NATO/CCMS International Technical Meeting on Air Pollution Modelling and its Application, 15-19 October 2001, Aula Magna, Louvain-la-Neuve, Belgium. Preprints Louvain: Université Catholique de Louvain, 2002, pp. 265-272.
    • BOŽNAR M. and MLAKAR P., Use of neural networks in the field of air pollution modelling, in 25th NATO/CCMS International Technical Meeting on Air Pollution Modelling and its Application, 15-19 October 2001, Aula Magna, Louvain-la-Neuve, Belgium. Preprints Louvain: Université Catholique de Louvain, 2002, pp. 265-272.
  • 6
    • 33846860759 scopus 로고    scopus 로고
    • AŽMAN K. and KOCIJAN J., Gaussian process models validation: biotechnological systems case studies, in 5th MATHMOD Vienna, edited by TROCH I. and BREITENECKER F., Proceedings of 5th Vienna Symposium on Mathematical Modelling, February 8-10, 2006, Vienna University of Technology, Austria, ARGESIM Report, no. 30 (ARGESIM, Vienna), 2 (2006), pp. 3-1-3-10.
    • AŽMAN K. and KOCIJAN J., Gaussian process models validation: biotechnological systems case studies, in 5th MATHMOD Vienna, edited by TROCH I. and BREITENECKER F., Proceedings of 5th Vienna Symposium on Mathematical Modelling, February 8-10, 2006, Vienna University of Technology, Austria, ARGESIM Report, no. 30 (ARGESIM, Vienna), Vol. 2 (2006), pp. 3-1-3-10.
  • 9
    • 33846890592 scopus 로고    scopus 로고
    • RASMUSSEN C. E., Evaluation of Gaussian Processes and other Methods for Non-Linear Regression, in Ph. D. Dissertation, University of Toronto (1996).
    • RASMUSSEN C. E., Evaluation of Gaussian Processes and other Methods for Non-Linear Regression, in Ph. D. Dissertation, University of Toronto (1996).
  • 10
    • 33846852121 scopus 로고    scopus 로고
    • GIBBS M. N., Bayesian Gaussian Processes for Regression and Classification, in Ph. D. Dissertation, Cambridge University (1997).
    • GIBBS M. N., Bayesian Gaussian Processes for Regression and Classification, in Ph. D. Dissertation, Cambridge University (1997).
  • 11
    • 0003301456 scopus 로고    scopus 로고
    • Bayesian Learning for Neural Networks
    • Springer, New York
    • NEAL R. M., Bayesian Learning for Neural Networks, in Lecture Notes in Statistics, No. 118 (Springer, New York) 1996.
    • (1996) Lecture Notes in Statistics , Issue.118
    • NEAL, R.M.1
  • 12
    • 0004220749 scopus 로고    scopus 로고
    • Monte Carlo Implementation of Gaussian process Models for Bayesian Regression and Classification
    • CRG-TR-97-2, Dept. of Computer Science, University of Toronto
    • NEAL R. M., Monte Carlo Implementation of Gaussian process Models for Bayesian Regression and Classification, in Technical Report CRG-TR-97-2, Dept. of Computer Science, University of Toronto (1997).
    • (1997) in Technical Report
    • NEAL, R.M.1
  • 14
    • 33846851439 scopus 로고    scopus 로고
    • THE MATHWORKS, INC, Neural Network Toolbox, in Matlab version 6.5 documentation 2002
    • THE MATHWORKS, INC., Neural Network Toolbox, in Matlab version 6.5 documentation (2002).


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