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Volumn 104, Issue 1-2, 2009, Pages 144-155

An investigation on the Su-NSPT correlation using GMDH type neural networks and genetic algorithms

Author keywords

Correlation; Genetic algorithm (GA); GMDH; Low plasticity clays; Neural networks; Standard penetration test

Indexed keywords

ALGORITHMS; CLAY MINERALS; CORRELATION METHODS; DATA HANDLING; GENETIC ALGORITHMS; MECHANICAL PROPERTIES; MOISTURE; MOISTURE DETERMINATION; NATURAL GAS WELL PRODUCTION; NEURAL NETWORKS; PLASTICITY; SHEAR STRENGTH; SOILS; STANDARDS; STRENGTH OF MATERIALS; STRESSES; TESTING;

EID: 59349097197     PISSN: 00137952     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enggeo.2008.09.006     Document Type: Article
Times cited : (79)

References (43)
  • 1
    • 59349109068 scopus 로고    scopus 로고
    • Alsamman, O.M., 1995. The use of CPT for calculating axial capacity of drilled shafts. Ph.D. thesis, University of Illinois, Urbana.
    • Alsamman, O.M., 1995. The use of CPT for calculating axial capacity of drilled shafts. Ph.D. thesis, University of Illinois, Urbana.
  • 2
    • 33745722163 scopus 로고
    • SPT energy transmission: theory, measurement and significance
    • Clayton C.R.I. SPT energy transmission: theory, measurement and significance. Ground Engineering 23 10 (1990) 35-43
    • (1990) Ground Engineering , vol.23 , Issue.10 , pp. 35-43
    • Clayton, C.R.I.1
  • 8
    • 0018481424 scopus 로고
    • North American experience in sampling and laboratory dynamic testing
    • Horn H.M. North American experience in sampling and laboratory dynamic testing. ASTM Geotechnical Testing Journal 2 2 (1979) 84-97
    • (1979) ASTM Geotechnical Testing Journal , vol.2 , Issue.2 , pp. 84-97
    • Horn, H.M.1
  • 10
    • 0001987690 scopus 로고    scopus 로고
    • A numerical approach to genetic programming for system identification
    • Iba H., deGaris H., and Sato T. A numerical approach to genetic programming for system identification. Evolutionary Computation, 3 4 (1996) 417-452
    • (1996) Evolutionary Computation , vol.3 , Issue.4 , pp. 417-452
    • Iba, H.1    deGaris, H.2    Sato, T.3
  • 16
    • 0037490974 scopus 로고    scopus 로고
    • An approach to estimate unsaturated shear strength using artificial neural network and hyperbolic formulation
    • Lee S.J., Lee S.R., and Kim Y.S. An approach to estimate unsaturated shear strength using artificial neural network and hyperbolic formulation. Computers and Geotechnics 30 6 (2003) 489-503
    • (2003) Computers and Geotechnics , vol.30 , Issue.6 , pp. 489-503
    • Lee, S.J.1    Lee, S.R.2    Kim, Y.S.3
  • 17
    • 0024860813 scopus 로고
    • Drilled shafts, a data-base approach
    • ASCE Proceedings of the Foundation Engineering Congress: Current Principles and Practices, Evanston, Ill., June 25-29, 1989. Kulhawy F.H. (Ed), American Society of Civil Engineers
    • Long J.H., and Shimel I.S. Drilled shafts, a data-base approach. In: Kulhawy F.H. (Ed). ASCE Proceedings of the Foundation Engineering Congress: Current Principles and Practices, Evanston, Ill., June 25-29, 1989. Geotechnical Special Publication 22 vol. 2 (1989), American Society of Civil Engineers 1091-1108
    • (1989) Geotechnical Special Publication 22 , vol.2 , pp. 1091-1108
    • Long, J.H.1    Shimel, I.S.2
  • 20
    • 0029723312 scopus 로고    scopus 로고
    • Neural network approach for site characterization and uncertainty prediction
    • Najjar Y.M., and Basheer I.A. Neural network approach for site characterization and uncertainty prediction. ASCE Geotechnical Special Publication 58 1 (1996) 134-148
    • (1996) ASCE Geotechnical Special Publication , vol.58 , Issue.1 , pp. 134-148
    • Najjar, Y.M.1    Basheer, I.A.2
  • 21
    • 0037032164 scopus 로고    scopus 로고
    • Modelling of explosive cutting process of plates using GMDH type neural network and singular value decomposition
    • Nariman-Zadeh N., Darvizeh A., Darvizeh M., and Gharababaei H. Modelling of explosive cutting process of plates using GMDH type neural network and singular value decomposition. Journal of Materials Processing Technology 128 1 (2002) 80-87
    • (2002) Journal of Materials Processing Technology , vol.128 , Issue.1 , pp. 80-87
    • Nariman-Zadeh, N.1    Darvizeh, A.2    Darvizeh, M.3    Gharababaei, H.4
  • 22
    • 0037705805 scopus 로고    scopus 로고
    • Hybrid genetic design of GMDH type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process
    • Nariman-Zadeh N., Darvizeh A., and Ahmad-Zadeh G.R. Hybrid genetic design of GMDH type neural networks using singular value decomposition for modelling and prediction of the explosive cutting process. Journal of Engineering Manufacture 217 (2003) 779-790
    • (2003) Journal of Engineering Manufacture , vol.217 , pp. 779-790
    • Nariman-Zadeh, N.1    Darvizeh, A.2    Ahmad-Zadeh, G.R.3
  • 23
    • 17844390396 scopus 로고    scopus 로고
    • Evolutionary design of generalized polynomial neural networks for modelling and prediction of explosive forming process
    • Nariman-Zadeh N., Darvizeh A., Jamali A., and Moeini A. Evolutionary design of generalized polynomial neural networks for modelling and prediction of explosive forming process. Journal of Material Processing Technology 164-165 (2005) 1561-1571
    • (2005) Journal of Material Processing Technology , vol.164-165 , pp. 1561-1571
    • Nariman-Zadeh, N.1    Darvizeh, A.2    Jamali, A.3    Moeini, A.4
  • 24
    • 0040639038 scopus 로고
    • Department of the Navy, Alexandria, Virginia, USA
    • NAVFAC DM-7.1. Soil Mechanics (1982), Department of the Navy, Alexandria, Virginia, USA
    • (1982) Soil Mechanics
    • NAVFAC DM-7.11
  • 27
    • 0038677926 scopus 로고    scopus 로고
    • Evolutionary computation approaches to solving problems in neural computation
    • Back T., Fogel D.B., and Michalewicz Z. (Eds), Institute of Physics Publishing and Oxford University Press, New York
    • Porto V.W. Evolutionary computation approaches to solving problems in neural computation. In: Back T., Fogel D.B., and Michalewicz Z. (Eds). Handbook of Evolutionary Computation (1997), Institute of Physics Publishing and Oxford University Press, New York D1.2: 1-6
    • (1997) Handbook of Evolutionary Computation
    • Porto, V.W.1
  • 28
    • 59349118245 scopus 로고    scopus 로고
    • Rodríguez-Vázquez, K., 1999. Multiobjective Evolutionary Algorithms in Non-Linear System Identification. Ph.D. thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK.
    • Rodríguez-Vázquez, K., 1999. Multiobjective Evolutionary Algorithms in Non-Linear System Identification. Ph.D. thesis, Department of Automatic Control and Systems Engineering, The University of Sheffield, Sheffield, UK.
  • 34
    • 33745700241 scopus 로고    scopus 로고
    • Determination of undrained strength of fine-grained soils by means of SPT and its application in Turkey
    • Sivrikaya O., and Toǧrol E. Determination of undrained strength of fine-grained soils by means of SPT and its application in Turkey. Engineering Geology 86 (2006) 52-69
    • (2006) Engineering Geology , vol.86 , pp. 52-69
    • Sivrikaya, O.1    Toǧrol, E.2
  • 37
    • 30344474020 scopus 로고    scopus 로고
    • Estimation of rock modulus: for intact rocks with an artificial neural network and for rock masses with a new empirical equation
    • Sonmez H., Gokceoglu C., Nefeslioglu H.A., and Kayabasi A. Estimation of rock modulus: for intact rocks with an artificial neural network and for rock masses with a new empirical equation. International Journal of Rock Mechanics and Mining Sciences 43 2 (2006) 224-235
    • (2006) International Journal of Rock Mechanics and Mining Sciences , vol.43 , Issue.2 , pp. 224-235
    • Sonmez, H.1    Gokceoglu, C.2    Nefeslioglu, H.A.3    Kayabasi, A.4
  • 40
    • 19744381472 scopus 로고    scopus 로고
    • Evolving polynomial neural network by means of genetic algorithm: some application examples
    • Vasechkina E.F., and Yarin V.D. Evolving polynomial neural network by means of genetic algorithm: some application examples. Complexity International 9 (2001)
    • (2001) Complexity International , vol.9
    • Vasechkina, E.F.1    Yarin, V.D.2
  • 41
    • 0036090265 scopus 로고    scopus 로고
    • The artificial neural network as a tool for assessing geotechnical properties
    • Yang Y., and Rosenbaum M.S. The artificial neural network as a tool for assessing geotechnical properties. Geotechnical Engineering Journal 20 2 (2002) 149-168
    • (2002) Geotechnical Engineering Journal , vol.20 , Issue.2 , pp. 149-168
    • Yang, Y.1    Rosenbaum, M.S.2
  • 42
    • 0033362601 scopus 로고    scopus 로고
    • Evolving artificial neural networks
    • Yao X. Evolving artificial neural networks. Proceedings of IEEE 87 9 (1999) 1423-1447
    • (1999) Proceedings of IEEE , vol.87 , Issue.9 , pp. 1423-1447
    • Yao, X.1
  • 43
    • 0032194440 scopus 로고    scopus 로고
    • Modelling of soil behavior with a recurrent neural network
    • Zhu J.H., Zaman M.M., and Anderson S.A. Modelling of soil behavior with a recurrent neural network. Canadian Geotechnical Journal 35 5 (1998) 858-872
    • (1998) Canadian Geotechnical Journal , vol.35 , Issue.5 , pp. 858-872
    • Zhu, J.H.1    Zaman, M.M.2    Anderson, S.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.