Discussion of “Neural Network Modeling of Resilient Modulus Using Routine Subgrade Soil Properties” by Musharraf Zaman, Pranshoo Solanki, Ali Ebrahimi, and Luther White
Publication: International Journal of Geomechanics
Volume 12, Issue 4
GM.1943-5622.0000065/asset/a0f67b42-bcb7-44a5-b28f-84c6f0ac453c/assets/(asce)gm.1943-5622.0000065.fp.png)
Get full access to this article
View all available purchase options and get full access to this article.
References
Abu-Farsakh, M. Y., and Titi, H. H. (2004). “Assessment of direct cone penetration test methods for predicting the ultimate capacity of friction driven piles.” J. Geotech. Geoenviron. Eng., 130(9), 935–944.JGGEFK
Basheer, I. A. (2001). “Empirical modeling of the compaction curve of cohesive soil.” Can. Geotech. J.CGJOAH, 38(1), 29–45.
Das, S. K. (2005). “Application of genetic algorithm and artificial neural network to some geotechnical engineering problems.” Ph.D thesis, Indian Institute of Technology Kanpur, India.
Das, S. K., and Basudhar, P. K. (2006). “Undrained lateral load capacity of piles in clay using artificial neural network.” Comput. Geotech., 33(8), 454–459.CGEOEU
Das, S. K., and Basudhar, P. K. (2008). “Prediction of residual friction angle of clays using artificial neural network.” Eng. Geol., 100(3–4), 142–145.EGGOAO
Maier, H. R., and Dandy, G. C. (2000). “Neural network for prediction and fore casting of water resources: a review of modeling issues and applications.” Environ. Modell. SoftwareEMSOFT, 15(1), 101–123.
Masters, T. (1993). Practical neural network recipes in C, Academy Press, San Diego, CA.
Nash, J. E., and Sutcliffe, J. V. (1970). “River flow forecasting through conceptual models. Part 1-A discussion of principles.” J. Hydrol. (Amsterdam)JHYDA7, 10(3), 282–290.
Shahin, M. A., Maier, H. R., and Jaksa, M. B. (2002). “Predicting settlement of shallow foundations using neural network.” J. Geotech. Geoenviron. Eng., 128(9), 785–793.JGGEFK
Shi, J. J. (2000). “Reducing prediction error by transforming input data for neural networks.” J. Comput. Civ. Eng., 14(2), 109–116.JCCEE5
Smith, M. (1996). Neural networks for statistical modeling, International Thomson Computer Press, Boston.
Wilby, R. L., Abrahart, R. J., and Dawson, C. W. (2003). “Detection of conceptual model rainfall-runoff processes inside an artificial neural network.” Hydrol. Sci. J.HSJODN, 48(2), 163–181.
Information & Authors
Information
Published In
International Journal of Geomechanics
Volume 12 • Issue 4 • August 2012
Pages: 517 - 518
Copyright
© 2012. American Society of Civil Engineers.
History
Received: Feb 1, 2010
Accepted: Mar 10, 2010
Published online: Jul 16, 2012
Published in print: Aug 1, 2012
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.