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Volumn 7 B, Issue , 2002, Pages

Studies on instance based learning models for liquefaction potential assessment

Author keywords

Cone Penetration Test; Instance Based Learning; Liquefaction; Machine learning; Neural networks

Indexed keywords

ARTIFICIAL NEURAL NETWORK; CONE PENETRATION TEST; LIQUEFACTION; SOIL DYNAMICS;

EID: 0346039025     PISSN: 10893032     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (6)

References (18)
  • 1
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    • Instance based learning models for liquefaction potential assessment
    • B.Tech. Dissertation Report, Department of Civil Engineering, IIT Kharagpur, India
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    • (2001)
    • Agarwal, G.1
  • 2
    • 0022082274 scopus 로고
    • "Energy dissipation and seismic liquefaction of sands: Revised model"
    • Berrill, J. B., and Davis, R. O. (1985), "Energy dissipation and seismic liquefaction of sands: revised model", Soils and Foundation, Vol. 25, No. 2, pp: 106-118.
    • (1985) Soils and Foundation , vol.25 , Issue.2 , pp. 106-118
    • Berrill, J.B.1    Davis, R.O.2
  • 4
    • 0028666973 scopus 로고
    • "Seismic liquefaction potential assessed by neural networks"
    • Goh, A.T.C. (1994), "Seismic liquefaction potential assessed by neural networks", Journal of Geotechnical Engineering, ASCE, Vol. 120, No. 9, pp: 1467-1480.
    • (1994) Journal of Geotechnical Engineering, ASCE , vol.120 , Issue.9 , pp. 1467-1480
    • Goh, A.T.C.1
  • 5
    • 0030403486 scopus 로고    scopus 로고
    • "Neural network modeling of CPT seismic liquefaction data"
    • Goh, A.T.C. (1996), "Neural network modeling of CPT seismic liquefaction data", Journal of Geotechnical Engineering, ASCE, Vol. 122, No. 1, pp: 70-73.
    • (1996) Journal of Geotechnical Engineering, ASCE , vol.122 , Issue.1 , pp. 70-73
    • Goh, A.T.C.1
  • 6
    • 0001892558 scopus 로고
    • "Instance-based prediction of real values attributes"
    • Kibler, D., Aha, D. and Albert, M. K. (1989), "Instance-based prediction of real values attributes", Computational Intelligence, Vol. 5, pp: 51-58.
    • (1989) Computational Intelligence , vol.5 , pp. 51-58
    • Kibler, D.1    Aha, D.2    Albert, M.K.3
  • 7
    • 0025572867 scopus 로고
    • "An energy approach for assessing seismic liquefaction potential"
    • Law, K. T., Cao, Y. L., and He, G. N. (1990), "An energy approach for assessing seismic liquefaction potential", Canadian Geotechnical Journal, Vol. 27, pp: 320-329.
    • (1990) Canadian Geotechnical Journal , vol.27 , pp. 320-329
    • Law, K.T.1    Cao, Y.L.2    He, G.N.3
  • 11
    • 0032628293 scopus 로고    scopus 로고
    • "Evaluating machine learning models for engineering problems"
    • Reich, Y. and Barai, S. V. (1999), "Evaluating machine learning models for engineering problems", Artificial Intelligence in Engineering, Vol.13, pp: 257-272
    • (1999) Artificial Intelligence in Engineering , vol.13 , pp. 257-272
    • Reich, Y.1    Barai, S.V.2
  • 12
    • 0034509548 scopus 로고    scopus 로고
    • "A methodology for building neural networks models from empirical engineering data"
    • Reich, Y. and Barai S V (2000), " A methodology for building neural networks models from empirical engineering data", Engineering Applications of Artificial Intelligence, Vol. 13, No. 6, pp: 685-694.
    • (2000) Engineering Applications of Artificial Intelligence , vol.13 , Issue.6 , pp. 685-694
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  • 13
    • 0022360088 scopus 로고
    • "Influence of SPT procedure in seismic liquefaction resistance evaluations"
    • Seed, H. B., Tokimatsu, H., Harder, L. F., and Chung, R. M. (1985), "Influence of SPT procedure in seismic liquefaction resistance evaluations", Journal of Geotechnical Engineering, ASCE, Vol. 111, No. 2, pp: 1425-1445.
    • (1985) Journal of Geotechnical Engineering, ASCE , vol.111 , Issue.2 , pp. 1425-1445
    • Seed, H.B.1    Tokimatsu, H.2    Harder, L.F.3    Chung, R.M.4
  • 14
    • 0020920847 scopus 로고
    • "Empirical Correlation of Soil liquefaction based on SPT N-value and fine content"
    • Tokimatsu, K. and Yoshimi, Y., (1983), "Empirical Correlation of Soil liquefaction based on SPT N-value and fine content", Soils and Foundation, Vol. 23, No. 4, pp: 56-74.
    • (1983) Soils and Foundation , vol.23 , Issue.4 , pp. 56-74
    • Tokimatsu, K.1    Yoshimi, Y.2
  • 18
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    • "Intelligent selection of instance for prediction functions in lazy learning"
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    • Zhang, J.1    Yim, Y.S.2    Yang, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.