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Volumn 3, Issue 3, 1998, Pages 203-209

Runoff forecasting using RBF networks with OLS algorithm

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BACKPROPAGATION; COMPUTER ARCHITECTURE; HYDROLOGY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; NEURAL NETWORKS; RAIN; TRANSFER FUNCTIONS;

EID: 0032123339     PISSN: 10840699     EISSN: None     Source Type: Journal    
DOI: 10.1061/(asce)1084-0699(1998)3:3(203)     Document Type: Article
Times cited : (176)

References (20)
  • 1
    • 84950967431 scopus 로고
    • Non-linear systems identification using radial basis functions
    • Chen, S., Billings, S. A., Cowan, C. F. N., and Grant, P. M. (1990a). "Non-linear systems identification using radial basis functions." Int. J. Sys. Sci., 21(12), 2513-2539.
    • (1990) Int. J. Sys. Sci. , vol.21 , Issue.12 , pp. 2513-2539
    • Chen, S.1    Billings, S.A.2    Cowan, C.F.N.3    Grant, P.M.4
  • 2
    • 0025669403 scopus 로고
    • Practical identification of NARMAX models using radial basis functions
    • Chen, S., Billings, S. A., Cowan, C. F. N., and Grant, P. M. (1990b). "Practical identification of NARMAX models using radial basis functions." Int. J. Control, 52(6), 1327-1350.
    • (1990) Int. J. Control , vol.52 , Issue.6 , pp. 1327-1350
    • Chen, S.1    Billings, S.A.2    Cowan, C.F.N.3    Grant, P.M.4
  • 3
    • 0024771664 scopus 로고
    • Orthogonal least squares methods and their application to non-linear system identification
    • Chen, S., Billings, S. A., and Luo, W. (1989). "Orthogonal least squares methods and their application to non-linear system identification." Int. J. Control, 50(5), 1873-1895.
    • (1989) Int. J. Control , vol.50 , Issue.5 , pp. 1873-1895
    • Chen, S.1    Billings, S.A.2    Luo, W.3
  • 4
    • 0026116468 scopus 로고
    • Orthogonal least squares learning algorithm for radial basis function networks
    • Chen, S., Cowan, C. F. N., and Grant, P. M. (1991). "Orthogonal least squares learning algorithm for radial basis function networks." IEEE Trans. Neural Networks, 2(2), 302-309.
    • (1991) IEEE Trans. Neural Networks , vol.2 , Issue.2 , pp. 302-309
    • Chen, S.1    Cowan, C.F.N.2    Grant, P.M.3
  • 5
    • 0026308790 scopus 로고
    • Neural networks - Applications in hydrology and water resources engineering
    • Inst. of Engineers, Perth, Australia
    • Daniell, T. M. (1991). "Neural networks - applications in hydrology and water resources engineering." Int. Hydro, and Water Resour. Symp., Inst. of Engineers, Perth, Australia, 797-802.
    • (1991) Int. Hydro, and Water Resour. Symp. , pp. 797-802
    • Daniell, T.M.1
  • 6
    • 85032752004 scopus 로고
    • Progress in supervised neural networks: What's new since Lippmann?
    • Hush, D. R., and Horne, B. G. (1993). "Progress in supervised neural networks: What's new since Lippmann?" IEEE Signal Processing Mag., January, 8-39.
    • (1993) IEEE Signal Processing Mag. , vol.JANUARY , pp. 8-39
    • Hush, D.R.1    Horne, B.G.2
  • 7
    • 3743112488 scopus 로고
    • The development of a forecasting system of the water levels of rivers by neural networks
    • in Japanese
    • Isobe, I., Ohkado, T., Hanyuda, H., Oda, S., and Gotoh, Y. (1994). "The development of a forecasting system of the water levels of rivers by neural networks." J. Japan Soc. of Hydro. and Water Resour., 7(2), 90-97 (in Japanese).
    • (1994) J. Japan Soc. of Hydro. and Water Resour. , vol.7 , Issue.2 , pp. 90-97
    • Isobe, I.1    Ohkado, T.2    Hanyuda, H.3    Oda, S.4    Gotoh, Y.5
  • 8
    • 0032030147 scopus 로고    scopus 로고
    • Use of radial basis function type artificial neural networks for runoff simulation
    • Jayawardena, A. W., and Fernando, D. A. K. (1998). "Use of radial basis function type artificial neural networks for runoff simulation." Computer-Aided Civ. and Infrastructure Engrg., 13, 91-99.
    • (1998) Computer-Aided Civ. and Infrastructure Engrg. , vol.13 , pp. 91-99
    • Jayawardena, A.W.1    Fernando, D.A.K.2
  • 10
    • 0031396895 scopus 로고    scopus 로고
    • Comparison of multilayer perception and radial basis function networks as tools for flood forecasting
    • Destructive Water: Water-Caused Natural Disasters, their Abatement and Control, Proc. Conference, Anaheim, Calif., G. L. Leavesley, H. F. Lins, F. Nobilis, R. S. Parker, V. R. Schneider, and F. H. M. van de Ven, eds.
    • Jayawardena, A. W., Fernando, D. A. K., and Zhou, M. C. (1997). Comparison of multilayer perception and radial basis function networks as tools for flood forecasting. Destructive Water: Water-Caused Natural Disasters, their Abatement and Control, Proc. Conference, Anaheim, Calif., G. L. Leavesley, H. F. Lins, F. Nobilis, R. S. Parker, V. R. Schneider, and F. H. M. van de Ven, eds., Int. Assoc. Hydrological Sci. Publication No. 239, 173-181.
    • (1997) Int. Assoc. Hydrological Sci. Publication No. 239 , pp. 173-181
    • Jayawardena, A.W.1    Fernando, D.A.K.2    Zhou, M.C.3
  • 13
    • 0029748915 scopus 로고    scopus 로고
    • A neural network model of rainfall-runoff using radial basis functions
    • Mason, J. C., Price, R. K., and Tem'me, A. (1996). "A neural network model of rainfall-runoff using radial basis functions." J. Hydr. Res., 34(4), 537-548.
    • (1996) J. Hydr. Res. , vol.34 , Issue.4 , pp. 537-548
    • Mason, J.C.1    Price, R.K.2    Tem'me, A.3
  • 14
    • 0030159380 scopus 로고    scopus 로고
    • Artificial neural network as rainfall runoff models
    • Minns, A. W., and Hall, M. J. (1996). "Artificial neural network as rainfall runoff models." Hydro. Sci. J., 41(3), 399-417.
    • (1996) Hydro. Sci. J. , vol.41 , Issue.3 , pp. 399-417
    • Minns, A.W.1    Hall, M.J.2
  • 15
    • 0000672424 scopus 로고
    • Fast learning in networks of locally-tuned processing units
    • Moody, J., and Darken, C. J. (1989). "Fast learning in networks of locally-tuned processing units." Neural Computation, 1(2), 281-294.
    • (1989) Neural Computation , vol.1 , Issue.2 , pp. 281-294
    • Moody, J.1    Darken, C.J.2
  • 16
    • 0000106040 scopus 로고
    • Universal approximations using radial-basis-function networks
    • Park, J., and Sandberg, I. W. (1991). "Universal approximations using radial-basis-function networks." Neural Computation, 3(2), 246-257.
    • (1991) Neural Computation , vol.3 , Issue.2 , pp. 246-257
    • Park, J.1    Sandberg, I.W.2
  • 17
    • 0029413038 scopus 로고
    • Modelling water resources time series using artificial neural networks
    • Raman, H., and Sunilkumar, N. (1995). "Modelling water resources time series using artificial neural networks." Hydro. Sci. J., 40(2), 145-162.
    • (1995) Hydro. Sci. J. , vol.40 , Issue.2 , pp. 145-162
    • Raman, H.1    Sunilkumar, N.2
  • 18
    • 0029416249 scopus 로고
    • Neural-network models of rainfall-runoff process
    • ASCE
    • Smith, J., and Eli, R. N. (1995). "Neural-network models of rainfall-runoff process." J. Water Resour. Plng. and Mgmt., ASCE, 121(6), 499-508.
    • (1995) J. Water Resour. Plng. and Mgmt. , vol.121 , Issue.6 , pp. 499-508
    • Smith, J.1    Eli, R.N.2
  • 19
    • 0024933821 scopus 로고
    • Universal approximation using feed forward networks with non-sigmoid hidden layer activation functions
    • IEEE Neural Networks Com., The Institute of Electrical and Electronics Engineers, Inc., New York, N.Y.
    • Stinchcombe, M., and White, H. (1989). "Universal approximation using feed forward networks with non-sigmoid hidden layer activation functions." Proc., Int. Joint Conf. Neural Networks, IEEE Neural Networks Com., The Institute of Electrical and Electronics Engineers, Inc., New York, N.Y., 1, 607-611.
    • (1989) Proc., Int. Joint Conf. Neural Networks , vol.1 , pp. 607-611
    • Stinchcombe, M.1    White, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.