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Volumn 42, Issue 22, 2015, Pages 8971-8981

Dynamic analysis of soil-structure interaction using the neural networks and the support vector machines

Author keywords

Key words Dynamic analysis; Neural networks; Soil pile structure interaction; Support vector machines

Indexed keywords

COMPLEX NETWORKS; DYNAMIC ANALYSIS; NEURAL NETWORKS; PILES; SEISMIC RESPONSE; SEISMOLOGY; SOIL STRUCTURE INTERACTIONS; SOILS; SUPPORT VECTOR MACHINES;

EID: 84940459072     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.07.053     Document Type: Article
Times cited : (46)

References (13)
  • 1
    • 34247132993 scopus 로고    scopus 로고
    • Artificial neural network application to estimate kinematic soil pile interaction response parameters
    • Ahmad I., El Naggar M.H., Khan A.N. Artificial neural network application to estimate kinematic soil pile interaction response parameters Journal of Soil Dynamics and Earthquake Engineering 27 9 2007 892 905
    • (2007) Journal of Soil Dynamics and Earthquake Engineering , vol.27 , Issue.9 , pp. 892-905
    • Ahmad, I.1    El Naggar, M.H.2    Khan, A.N.3
  • 2
    • 79151480571 scopus 로고    scopus 로고
    • Prediction of Lateral Behavior of Single and Group Piles using Artificial Neural Networks
    • Byung T.K., Young S.K., Sang H.L. Prediction of Lateral Behavior of Single and Group Piles using Artificial Neural Networks KSCE Journal of Civil Engineering 5 2001 185 198
    • (2001) KSCE Journal of Civil Engineering , vol.5 , pp. 185-198
    • Byung, T.K.1    Young, S.K.2    Sang, H.L.3
  • 3
    • 84922271591 scopus 로고    scopus 로고
    • Review and application of Artificial Neural Networks models in reliability analysis of steel structures
    • Part A
    • Chojaczyk A.A., Teixeira A.P., Neves L.C., Cardoso J.B., GuedesSoares C. Review and application of Artificial Neural Networks models in reliability analysis of steel structures Structural Safety 52 2015 78 89 Part A
    • (2015) Structural Safety , vol.52 , pp. 78-89
    • Chojaczyk, A.A.1    Teixeira, A.P.2    Neves, L.C.3    Cardoso, J.B.4    GuedesSoares, C.5
  • 4
    • 37849189166 scopus 로고    scopus 로고
    • Undrained lateral load capacity of piles in clay using artificial neural network
    • Das S.K., Basudhar P.K. Undrained lateral load capacity of piles in clay using artificial neural network Journal of Computers and Geotechnics 33 2006 454 459
    • (2006) Journal of Computers and Geotechnics , vol.33 , pp. 454-459
    • Das, S.K.1    Basudhar, P.K.2
  • 6
    • 84906825852 scopus 로고    scopus 로고
    • Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN
    • Momeni E., Nazir R., JahedArmaghani D., Maizir H. Prediction of pile bearing capacity using a hybrid genetic algorithm-based ANN Measurement 57 2014 122 131
    • (2014) Measurement , vol.57 , pp. 122-131
    • Momeni, E.1    Nazir, R.2    JahedArmaghani, D.3    Maizir, H.4
  • 8
    • 84940460827 scopus 로고    scopus 로고
    • Analysis of soil-structure interaction effects on building response from earthquake strong motion recordings at 58 sites. Report No. UCB/EERC-97/01
    • Berkeley
    • Stewart, J.P., & Stewart, A.F. (1997). Analysis of soil-structure interaction effects on building response from earthquake strong motion recordings at 58 sites. Report No. UCB/EERC-97/01, Earthquake Engineering Research Center, University of California, Berkeley.
    • (1997) Earthquake Engineering Research Center, University of California
    • Stewart, J.P.1    Stewart, A.F.2
  • 11
    • 0343241781 scopus 로고    scopus 로고
    • Soil-Pile-Superstructure Interaction in Liquefying Sand Soft Clay (Doctoral Dissertation)
    • Report No. UCD/CGM-98/01 University of California at Davis.
    • Wilson, D.W. (1998). Soil-Pile-Superstructure Interaction in Liquefying Sand Soft Clay (Doctoral Dissertation). Department Of Civil & Environmental Engineering, Report No. UCD/CGM-98/01 University of California at Davis.
    • (1998) Department of Civil & Environmental Engineering
    • Wilson, D.W.1
  • 13
    • 84889674327 scopus 로고    scopus 로고
    • Reliability analysis of tunnel using least square support vector machine
    • http://www.mathworks.com/products/matlab. Accessed 15 September 2013. . 15 Accessed September 2013. http://www.csie.ntu.edu.tw/∼cjlin/libsvm. Accessed 15.09.13
    • Zhao H., Ru Z., Chang X., Yin S., Li S. Reliability analysis of tunnel using least square support vector machine Tunneling and Underground Space Technology 41 2014 14 23 http://www.mathworks.com/products/matlab. Accessed 15 September 2013. http://www.neurosolutions.com/downloads/documentation.html. 15 Accessed September 2013. http://www.csie.ntu.edu.tw/∼cjlin/libsvm. Accessed 15.09.13
    • (2014) Tunneling and Underground Space Technology , vol.41 , pp. 14-23
    • Zhao, H.1    Ru, Z.2    Chang, X.3    Yin, S.4    Li, S.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.