메뉴 건너뛰기




Volumn 18, Issue 2, 2003, Pages 303-310

An adaptive nonlinear MOS scheme for precipitation forecasts using neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE SYSTEMS; COASTAL ZONES; NEURAL NETWORKS; NONLINEAR SYSTEMS; WEATHER FORECASTING;

EID: 0037983896     PISSN: 08828156     EISSN: None     Source Type: Journal    
DOI: 10.1175/1520-0434(2003)018<0303:AANMSF>2.0.CO;2     Document Type: Article
Times cited : (30)

References (20)
  • 1
    • 0024861871 scopus 로고
    • Approximation by superpositions of a sigmoidal function
    • Cybenko, G., 1989: Approximation by superpositions of a sigmoidal function. Math. Control, Signal, Syst., 2, 303-314.
    • (1989) Math. Control, Signal, Syst. , vol.2 , pp. 303-314
    • Cybenko, G.1
  • 3
    • 0035475022 scopus 로고    scopus 로고
    • Ability of a poor man's ensemble to predict the probability and distribution of precipitation
    • Ebert, E. E., 2001: Ability of a poor man's ensemble to predict the probability and distribution of precipitation. Mon. Wea. Rev., 129, 2461-2480.
    • (2001) Mon. Wea. Rev. , vol.129 , pp. 2461-2480
    • Ebert, E.E.1
  • 4
    • 0024866495 scopus 로고
    • On the approximate realization of continuous mappings by neural networks
    • Funahashi, K., 1989: On the approximate realization of continuous mappings by neural networks. Neural Networks, 2, 183-192.
    • (1989) Neural Networks , vol.2 , pp. 183-192
    • Funahashi, K.1
  • 5
    • 32044449925 scopus 로고
    • Generalized cross-validation as a method for choosing a good ridge parameter
    • Golub, G. H., M. Heath, and G. Wahba, 1979: Generalized cross-validation as a method for choosing a good ridge parameter. Technometrics, 21, 215-223.
    • (1979) Technometrics , vol.21 , pp. 215-223
    • Golub, G.H.1    Heath, M.2    Wahba, G.3
  • 6
    • 0003742537 scopus 로고
    • Prentice Hall Information and System Science Series, Prentice Hall, 381 pp
    • Grewal, M. S., 1993: Kalman Filtering: Theory and Practice. Prentice Hall Information and System Science Series, Prentice Hall, 381 pp.
    • (1993) Kalman Filtering: Theory and Practice
    • Grewal, M.S.1
  • 7
    • 0033933643 scopus 로고    scopus 로고
    • A GCV based method for nonlinear ill-posed problems
    • Haber, E., and D. W. Oldenburg, 2000: A GCV based method for nonlinear ill-posed problems. Comput. Geosci., 4, 41-63.
    • (2000) Comput. Geosci. , vol.4 , pp. 41-63
    • Haber, E.1    Oldenburg, D.W.2
  • 8
    • 0032710602 scopus 로고    scopus 로고
    • Precipitation forecasting using a neural network
    • Hall, T., H. E. Brooks, and C. A. Doswell III, 1999: Precipitation forecasting using a neural network. Wea. Forecasting, 14, 338-345.
    • (1999) Wea. Forecasting , vol.14 , pp. 338-345
    • Hall, T.1    Brooks, H.E.2    Doswell C.A., III.3
  • 9
    • 0024880831 scopus 로고
    • Multilayer feed-forward networks are universal approximators
    • Hornik, K., M. Stinchcombe, and H. White, 1989: Multilayer feed-forward networks are universal approximators. Neural Networks. 2, 359-366.
    • (1989) Neural Networks , vol.2 , pp. 359-366
    • Hornik, K.1    Stinchcombe, M.2    White, H.3
  • 10
    • 0029768948 scopus 로고    scopus 로고
    • The NCEP/NCAR 40-year reanalysis project
    • Coauthors
    • Kalnay, E., and Coauthors, 1996: The NCEP/NCAR 40-Year Reanalysis Project. Bull. Amer. Meteor. Soc., 77, 437-471.
    • (1996) Bull. Amer. Meteor. Soc. , vol.77 , pp. 437-471
    • Kalnay, E.1
  • 11
    • 0033079831 scopus 로고    scopus 로고
    • An objective method to modify numerical model forecasts with newly given weather data using an artificial neural network
    • Koizumi, K., 1999: An objective method to modify numerical model forecasts with newly given weather data using an artificial neural network. Wea. Forecasting, 14, 109-118.
    • (1999) Wea. Forecasting , vol.14 , pp. 109-118
    • Koizumi, K.1
  • 12
    • 0000686830 scopus 로고    scopus 로고
    • Probabilistic hydrometeorological forecasts: Toward a new era in operational forecasting
    • Krzysztofowicz, R., 1998: Probabilistic hydrometeorological forecasts: Toward a new era in operational forecasting. Bull. Amer. Meteor. Soc., 79, 243-251.
    • (1998) Bull. Amer. Meteor. Soc. , vol.79 , pp. 243-251
    • Krzysztofowicz, R.1
  • 13
    • 0000632352 scopus 로고    scopus 로고
    • Experiments in short-term precipitation forecasting using artificial neural networks
    • Kuligowski, R. J., and A. P. Barros, 1998a: Experiments in short-term precipitation forecasting using artificial neural networks. Mon. Wea. Rev., 126, 470-482.
    • (1998) Mon. Wea. Rev. , vol.126 , pp. 470-482
    • Kuligowski, R.J.1    Barros, A.P.2
  • 14
    • 0032434569 scopus 로고    scopus 로고
    • Localized precipitation forecasts from a numerical weather prediction model using artificial neural networks
    • Kuligowski, R. J., and A. P. Barros, 1998b: Localized precipitation forecasts from a numerical weather prediction model using artificial neural networks. Wea. Forecasting, 13, 1194-1204.
    • (1998) Wea. Forecasting , vol.13 , pp. 1194-1204
    • Kuligowski, R.J.1    Barros, A.P.2
  • 15
    • 0034096482 scopus 로고    scopus 로고
    • Quantitative precipitation forecasting for the Tennessee and Cumberland River watershed using the NCEP regional spectral model
    • Mao, Q., S. F. Mueller, and H. H. Juang, 2000: Quantitative precipitation forecasting for the Tennessee and Cumberland River watershed using the NCEP regional spectral model. Wea. Forecasting, 15, 29-45.
    • (2000) Wea. Forecasting , vol.15 , pp. 29-45
    • Mao, Q.1    Mueller, S.F.2    Juang, H.H.3
  • 16
    • 0038639063 scopus 로고
    • Programme on Short- and Medium Range Weather Prediction. PSMP Rep. Series, No. 25, World Meteorological Organization
    • Ross, G. H., 1987: An updateable model output statistics scheme. Programme on Short- and Medium Range Weather Prediction. PSMP Rep. Series, No. 25, World Meteorological Organization, 25-28.
    • (1987) an Updateable Model Output Statistics Scheme , pp. 25-28
    • Ross, G.H.1
  • 18
    • 0036553604 scopus 로고    scopus 로고
    • The Canadian updateable model output statistics (UMOS) system: Design and development test
    • Wilson, L. J., and M. Vallée, 2002: The Canadian Updateable Model Output Statistics (UMOS) system: Design and development test. Wea. Forecasting. 17, 206-222.
    • (2002) Wea. Forecasting , vol.17 , pp. 206-222
    • Wilson, L.J.1    Vallée, M.2
  • 19
    • 0033080073 scopus 로고    scopus 로고
    • An objective approach for making rainfall forecasts based on numerical model output and the latest observation
    • Xia, J., and A. Chen, 1999: An objective approach for making rainfall forecasts based on numerical model output and the latest observation. Wea. Forecasting. 14, 49-52.
    • (1999) Wea. Forecasting , vol.14 , pp. 49-52
    • Xia, J.1    Chen, A.2
  • 20
    • 0033911487 scopus 로고    scopus 로고
    • Neural network training for prediction of climatological time series, regularized by minimization of the generalized cross-validation function
    • Yuval, 2000: Neural network training for prediction of climatological time series, regularized by minimization of the generalized cross-validation function. Mon. Wea. Rev., 128, 1456-1473.
    • (2000) Mon. Wea. Rev. , vol.128 , pp. 1456-1473
    • Yuval1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.