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Volumn 2, Issue 1, 2000, Pages 3-13

Subsymbolic methods for data mining in hydraulic engineering

Author keywords

Artificial neural networks; Data mining; Genetic programming; Subsymbolic methods

Indexed keywords


EID: 0013015416     PISSN: 14647141     EISSN: 14651734     Source Type: Journal    
DOI: 10.2166/hydro.2000.0002     Document Type: Article
Times cited : (18)

References (20)
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  • 2
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    • Evolutionary algorithms as a theme in water resources
    • (ed. R. H. Boekelman) Delft University of Technology, The Netherlands
    • Babovic, V. 1993 Evolutionary algorithms as a theme in water resources. In Scientific Presentations of AIO Meeting '93: AIO Network Hydrology (ed. R. H. Boekelman), pp. 21-36. Delft University of Technology, The Netherlands.
    • (1993) Scientific Presentations of AIO Meeting '93: AIO Network Hydrology , pp. 21-36
    • Babovic, V.1
  • 4
    • 0030646548 scopus 로고    scopus 로고
    • The evolution of equations from hydraulic data, Parts i & II
    • Babovic, V. & Abbott, M. B. 1997 The evolution of equations from hydraulic data, Parts I & II. J. Hydraulic Res. 35(3), 397-430.
    • (1997) J. Hydraulic Res , vol.35 , Issue.3 , pp. 397-430
    • Babovic, V.1    Abbott, M.B.2
  • 6
    • 0032681761 scopus 로고    scopus 로고
    • Applications of artificial neural networks to the generation of wave equations from hydraulic data
    • Dibike, Y., Minns, A. W. & Abbott, M. B. 1999 Applications of artificial neural networks to the generation of wave equations from hydraulic data. J. Hydraulic Res. 37(1), 81-97.
    • (1999) J. Hydraulic Res , vol.37 , Issue.1 , pp. 81-97
    • Dibike, Y.1    Minns, A.W.2    Abbott, M.B.3
  • 7
    • 0002283033 scopus 로고    scopus 로고
    • From data mining to knowledge discovery in databases
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    • (1996) AI Magazine , vol.17 , Issue.3 , pp. 37-54
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 9
    • 0001795638 scopus 로고
    • Rainfall-runoff modelling as a problem in artificial intelligence: Experience with a neural network
    • British Hydrological Society, London
    • Hall, M. J. & Minns, A. W. 1993 Rainfall-runoff modelling as a problem in artificial intelligence: experience with a neural network. In Proceedings of the 4th National Hydrology Symposium, Cardiff, pp. 5.51-5.57. British Hydrological Society, London.
    • (1993) Proceedings of the 4th National Hydrology Symposium, Cardiff , pp. 551-557
    • Hall, M.J.1    Minns, A.W.2
  • 13
    • 0040154397 scopus 로고
    • Analysis of experimental data using artificial neural networks
    • London, Thomas Telford, London
    • Minns, A. W. 1995 Analysis of experimental data using artificial neural networks. HYDRA 2000, Proc. XXVI Congress IAHR, London, Vol. 1, Thomas Telford, London, pp. 218-223.
    • (1995) HYDRA 2000, Proc. XXVI Congress IAHR , vol.1 , pp. 218-223
    • Minns, A.W.1
  • 16
    • 0000651776 scopus 로고    scopus 로고
    • Modelling of 1-D pure advection processes using artificial neural networks
    • ed. V. Babovic & L. C. Larsen Balkema, Rotterdam
    • Minns, A. W. 1998b Modelling of 1-D pure advection processes using artificial neural networks. In Hydroinformatics '98, Proc. 3rd International Conf. on Hydroinformatics, Copenhagen (ed. V. Babovic & L. C. Larsen), vol. 2, pp. 805-812. Balkema, Rotterdam.
    • (1998) Hydroinformatics '98, Proc. 3rd International Conf. on Hydroinformatics, Copenhagen , vol.2 , pp. 805-812
    • Minns, A.W.1
  • 17
    • 0030159380 scopus 로고    scopus 로고
    • Artificial neural networks as rainfall-runoff models
    • Minns, A. W. & Hall, M. J. 1996 Artificial neural networks as rainfall-runoff models. J. hydrolog. Sci. 41(3), 399-417.
    • (1996) J. Hydrolog. Sci , vol.41 , Issue.3 , pp. 399-417
    • Minns, A.W.1    Hall, M.J.2
  • 18
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    • Living with the ultimate black box: More on artificial neural networks
    • British Hydrological Society, London
    • Minns, A. W. & Hall, M. J. 1997 Living with the ultimate black box: more on artificial neural networks. In Proceedings of the 6th National Hydrology Symposium, Salford, pp. 9.45-9.49. British Hydrological Society, London.
    • (1997) Proceedings of the 6th National Hydrology Symposium, Salford , pp. 945-949
    • Minns, A.W.1    Hall, M.J.2
  • 20
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    • Data analysis of bed concentration of suspended sediment
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    • (1994) J. Hydraul. Engng , vol.120 , Issue.9 , pp. 1021-1042
    • Zyserman, J.A.1    Fredsøe, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.