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Volumn 43, Issue 5, 2004, Pages 727-738

Neural network classifiers for local wind protection

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA REDUCTION; METEOROLOGY; TIME SERIES ANALYSIS; WIND EFFECTS;

EID: 3042772557     PISSN: 08948763     EISSN: None     Source Type: Journal    
DOI: 10.1175/2057.1     Document Type: Article
Times cited : (41)

References (15)
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    • Leshno, M., V. Y. Lin, A. Pinkus, and S. Schocken, 1993: Multilayer feedforward networks with a nonpolynomial activation function can approximate any function. Neural Networks, 6, 861-867.
    • (1993) Neural Networks , vol.6 , pp. 861-867
    • Leshno, M.1    Lin, V.Y.2    Pinkus, A.3    Schocken, S.4
  • 8
    • 0038508745 scopus 로고    scopus 로고
    • Neural networks for postprocessing model output: ARPS
    • Marzban, C., 2003: Neural networks for postprocessing model output: ARPS. Mon. Wea. Rev., 131, 1103-1111.
    • (2003) Mon. Wea. Rev. , vol.131 , pp. 1103-1111
    • Marzban, C.1
  • 10
    • 0032029065 scopus 로고    scopus 로고
    • A neural networks approach for wind speed prediction
    • Mohandes, M. A., S. Rehman, and T. O. Halawani, 1998: A neural networks approach for wind speed prediction. Renew. Energy, 13, 345-354.
    • (1998) Renew. Energy , vol.13 , pp. 345-354
    • Mohandes, M.A.1    Rehman, S.2    Halawani, T.O.3
  • 11
    • 0027205884 scopus 로고
    • A scaled conjugate gradient algorithm for fast supervised learning
    • Moller, M. F., 1993: A scaled conjugate gradient algorithm for fast supervised learning. Neural Networks, 6, 525-533.
    • (1993) Neural Networks , vol.6 , pp. 525-533
    • Moller, M.F.1
  • 12
    • 0036968210 scopus 로고    scopus 로고
    • Automatic weather stations and artificial neural networks: Improving the instrumental record in West Antarctica
    • Reusch, D. B., and R. B. Alley, 2002: Automatic weather stations and artificial neural networks: Improving the instrumental record in West Antarctica. Mon. Wea. Rev., 130, 3037-3053.
    • (2002) Mon. Wea. Rev. , vol.130 , pp. 3037-3053
    • Reusch, D.B.1    Alley, R.B.2
  • 13
    • 0035875227 scopus 로고    scopus 로고
    • Downscaling temperature and precipitation: A comparison of regression-based methods and artificial neural networks
    • Schoof, J., and S. Pryor, 2001: Downscaling temperature and precipitation: A comparison of regression-based methods and artificial neural networks. Int. J. Climate, 21, 773-790.
    • (2001) Int. J. Climate , vol.21 , pp. 773-790
    • Schoof, J.1    Pryor, S.2
  • 14
    • 0034286972 scopus 로고    scopus 로고
    • A comparison of various forecasting techniques applied to mean hourly wind speed time series
    • Sfetsos, A., 2000: A comparison of various forecasting techniques applied to mean hourly wind speed time series. Renew. Energy, 21, 23-35.
    • (2000) Renew. Energy , vol.21 , pp. 23-35
    • Sfetsos, A.1
  • 15
    • 0003421109 scopus 로고
    • SNNS Group, cited Wilhelm Schickard Institute for Computer Science. University of Tuebingen. [Available online at]
    • SNNS Group, cited 1995: Stuttgart Neural Network Simulator (SNNS). Wilhelm Schickard Institute for Computer Science. University of Tuebingen. [Available online at http://www-ra.informatik.unituebingen.de/SNNS/.]
    • (1995) Stuttgart Neural Network Simulator (SNNS)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.