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Volumn 52, Issue 4, 2007, Pages 825-831

Discussion of "generalized regression neural networks for evapotranspiration modelling"

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EID: 34547728744     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.52.4.825     Document Type: Note
Times cited : (30)

References (9)
  • 1
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    • Aytek, A., Guven, A., Yuce, M. I. & Aksoy, H. (2007) An explicit neural network formulation for evapotranspiration. Hydrol. Sci. J. (under review).
  • 2
    • 0018656392 scopus 로고
    • A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates
    • Beven, K. (1979) A sensitivity analysis of the Penman-Monteith actual evapotranspiration estimates. J. Hydrol. 44, 169-190.
    • (1979) J. Hydrol , vol.44 , pp. 169-190
    • Beven, K.1
  • 3
    • 0017006529 scopus 로고
    • Sensitivity and model variance analysis applied to some evaporation and evapotranspiration models
    • Coleman, G. & DeCoursey, D. G. (1976) Sensitivity and model variance analysis applied to some evaporation and evapotranspiration models. Water Resour. Res. 12(5), 873-879.
    • (1976) Water Resour. Res , vol.12 , Issue.5 , pp. 873-879
    • Coleman, G.1    DeCoursey, D.G.2
  • 4
    • 33749173598 scopus 로고    scopus 로고
    • Sensitivity of the Penman-Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin
    • Gong, L., Xu, C., Chen, D., Hallam, S. & Chen, Y. D. (2006) Sensitivity of the Penman-Monteith reference evapotranspiration to key climatic variables in the Changjiang (Yangtze River) basin. J. Hydrol. 329, 620-629.
    • (2006) J. Hydrol , vol.329 , pp. 620-629
    • Gong, L.1    Xu, C.2    Chen, D.3    Hallam, S.4    Chen, Y.D.5
  • 5
    • 33751106136 scopus 로고    scopus 로고
    • Sensitivity analyses and sensitivity coefficients of standardized daily ASCE-Penman-Monteith equation
    • Irmak, S., Payero, J. O., Martin, D. L., Irmak, A. & Howell, T. A. (2006) Sensitivity analyses and sensitivity coefficients of standardized daily ASCE-Penman-Monteith equation. J. Irrig. Drain. Engng ASCE 132(6), 564-578.
    • (2006) J. Irrig. Drain. Engng ASCE , vol.132 , Issue.6 , pp. 564-578
    • Irmak, S.1    Payero, J.O.2    Martin, D.L.3    Irmak, A.4    Howell, T.A.5
  • 6
    • 33845321370 scopus 로고    scopus 로고
    • Generalized regression neural networks for evapotranspiration modelling
    • Kisi, O. (2006) Generalized regression neural networks for evapotranspiration modelling. Hydrol. Sci. J. 51(6), 1092-1105.
    • (2006) Hydrol. Sci. J , vol.51 , Issue.6 , pp. 1092-1105
    • Kisi, O.1
  • 7
    • 0016069391 scopus 로고
    • A sensitivity and error analysis of procedures used for estimating evaporation
    • McCuen, R. H. (1974) A sensitivity and error analysis of procedures used for estimating evaporation. Water Resour. Bull. 10(3), 486-498.
    • (1974) Water Resour. Bull , vol.10 , Issue.3 , pp. 486-498
    • McCuen, R.H.1
  • 8
    • 0032449773 scopus 로고    scopus 로고
    • A measurement based sensitivity analysis of the Penman-Monteith actual evapotranspiration model for crops of different height and in contrasting water status
    • Rana, G. & Katerji, N. (1998) A measurement based sensitivity analysis of the Penman-Monteith actual evapotranspiration model for crops of different height and in contrasting water status. Theor. Appl. Climatol. 60, 141-149.
    • (1998) Theor. Appl. Climatol , vol.60 , pp. 141-149
    • Rana, G.1    Katerji, N.2
  • 9
    • 0000280598 scopus 로고
    • Sensitivity analysis of the combination evapotranspiration equation
    • Saxton, K. E. (1975) Sensitivity analysis of the combination evapotranspiration equation. Agric. Met. 15, 343-353.
    • (1975) Agric. Met , vol.15 , pp. 343-353
    • Saxton, K.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.