메뉴 건너뛰기




Volumn 2, Issue 4, 2009, Pages 311-319

Prediction of slope stability using artificial neural network (Case study: Noabad, mazandaran, iran)

Author keywords

Artificial neural network; Noabad; Nonlinear; Slope stability

Indexed keywords

ARTIFICIAL NEURAL NETWORK; GEOTECHNICAL ENGINEERING; GROUNDWATER; PREDICTION; SHEAR STRAIN; SLOPE STABILITY;

EID: 84928113584     PISSN: 18667511     EISSN: 18667538     Source Type: Journal    
DOI: 10.1007/s12517-009-0035-3     Document Type: Article
Times cited : (126)

References (23)
  • 1
    • 0036571078 scopus 로고    scopus 로고
    • Combining use of rough set and artificial neural network in doweled-pavement performance modeling— a hybrid approach
    • Attoh-Okine NO (2002) Combining use of rough set and artificial neural network in doweled-pavement performance modeling— a hybrid approach. ASCE J Transport Eng 128(3):270–275
    • (2002) ASCE J Transport Eng , vol.128 , Issue.3 , pp. 270-275
    • Attoh-Okine, N.O.1
  • 2
    • 23644459214 scopus 로고    scopus 로고
    • Artificial neural network for stress–strain behavior of sandy soils: Knowledge based verification
    • Banimahd M, Yasrobi SS, Woodward PK (2005) Artificial neural network for stress–strain behavior of sandy soils: knowledge based verification. Comput Geotech 23:377–386
    • (2005) Comput Geotech , vol.23 , pp. 377-386
    • Banimahd, M.1    Yasrobi, S.S.2    Woodward, P.K.3
  • 5
    • 0021286422 scopus 로고
    • Stability of compacted rockfill slopes
    • Charles JA, Soares MM (1984) Stability of compacted rockfill slopes. Geotechnique 34(1):61–70
    • (1984) Geotechnique , vol.34 , Issue.1 , pp. 61-70
    • Charles, J.A.1    Soares, M.M.2
  • 6
    • 41949117404 scopus 로고    scopus 로고
    • Ph.D. thesis submitted to the University of Manchester Institute of Science and Technology (UMIST)
    • Choobbasti AJ (1997) Numerical simulation of liquefaction. Ph.D. thesis submitted to the University of Manchester Institute of Science and Technology (UMIST)
    • (1997) Numerical Simulation of Liquefaction
    • Choobbasti, A.J.1
  • 8
    • 0016451058 scopus 로고
    • (1975) Numerical stability in quasi-static elasto/viscoplasticity
    • Cormeau IC (1975) Numerical stability in quasi-static elasto/viscoplasticity. Int J Numer Meth Eng (1975) 9:109–127
    • (1975) Int J Numer Meth Eng , vol.9 , pp. 109-127
    • Cormeau, I.C.1
  • 11
    • 0028416331 scopus 로고
    • Neural network in civil engineering. I: Principles and understandings
    • Flood I, Kartam N (1994a) Neural network in civil engineering. I: principles and understandings. J Comput Civ Eng ASCE 8 (2):131–148
    • (1994) J Comput Civ Eng ASCE , vol.8 , Issue.2 , pp. 131-148
    • Flood, I.1    Kartam, N.2
  • 12
    • 0028413247 scopus 로고
    • Neural network in civil engineering. II: Systems and applications
    • Flood I, Kartam N (1994b) Neural network in civil engineering. II: systems and applications. J Comput Civ Eng ASCE 8(2):149–162
    • (1994) J Comput Civ Eng ASCE , vol.8 , Issue.2 , pp. 149-162
    • Flood, I.1    Kartam, N.2
  • 13
    • 2342514143 scopus 로고    scopus 로고
    • Probabilistic slope stability analysis by finite elements
    • Griffiths DV, Fenton GA (2004) Probabilistic slope stability analysis by finite elements. J Geotech Geoenviron Eng ASCE 130(5):507–518
    • (2004) J Geotech Geoenviron Eng ASCE , vol.130 , Issue.5 , pp. 507-518
    • Griffiths, D.V.1    Fenton, G.A.2
  • 14
    • 0032766770 scopus 로고    scopus 로고
    • Slope stability analysis by finite elements
    • Griffiths DV, Lane PA (1999) Slope stability analysis by finite elements. Geotechnique 49(3):387–403
    • (1999) Geotechnique , vol.49 , Issue.3 , pp. 387-403
    • Griffiths, D.V.1    Lane, P.A.2
  • 15
    • 0026899191 scopus 로고
    • Use of artificial neural networks to analyze nuclear power plant performance
    • Guo Z, Uhrig RE (1992) Use of artificial neural networks to analyze nuclear power plant performance. Nucl Technol 99:36–42
    • (1992) Nucl Technol , vol.99 , pp. 36-42
    • Guo, Z.1    Uhrig, R.E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.