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Volumn 9, Issue 2, 2010, Pages 231-238

Adaptive neuro-fuzzy approach for sand permeability estimation

Author keywords

ANFIS; Granular soil; Particle shape; Permeability

Indexed keywords


EID: 77958589576     PISSN: 15829596     EISSN: None     Source Type: Journal    
DOI: 10.30638/eemj.2010.033     Document Type: Conference Paper
Times cited : (18)

References (27)
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  • 2
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    • ASTM Standard D2434-68 (2006), Standard Test Method for Permeability of Granular Soils (Constant Head), ASTM International, West Conshohocken, PA, DOI: 10.1520/D2434-68R06, On line at: www.astm.org.
    • (2006) Standard Test Method for Permeability of Granular Soils (Constant Head)
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  • 6
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    • Chapuis R.P., (2004), Predicting the saturated hydraulic conductivity of sand and gravel using effective diameter and void ratio. Canadian Geotechnical Journal, 41, 787-795.
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    • Chapuis, R.P.1
  • 8
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  • 11
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    • Hyslip, J.P.1    Vallejo, L.E.2
  • 13
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    • Neuro-fuzzy modeling and control
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    • Jang, J.S.R.1    Sun, C.T.2
  • 21
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    • Evaluation of the empirical formulae for determination of hydraulic conductivity based on grain size analysis
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    • Odong, J.1
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  • 23
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    • Methoden zur bestimmung der durschlassigkeit des bodens
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    • Seelheim, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.