Prediction of soil type and standard penetration test (SPT) value in Khulna City, Bangladesh using general regression neural network-Reference-Cited by-同舟云学术

Prediction of soil type and standard penetration test (SPT) value in Khulna City, Bangladesh using general regression neural network

Published:2015-10-23 Issue:3-4 Volume:48 Page:190-203
ISSN:1470-9236
Container-title:Quarterly Journal of Engineering Geology and Hydrogeology
language:en
Short-container-title:Quarterly Journal of Engineering Geology and Hydrogeology

Author:

Sarkar Grytan,Siddiqua Sumi,Banik Rajib,Rokonuzzaman Md.

Publisher

Geological Society of London

Subject

Earth and Planetary Sciences (miscellaneous),Geology,Geotechnical Engineering and Engineering Geology

Reference35 articles.

1. Agrawal G. Chameau J.L.A. Bourdeau P.L. 1997. Assessing the liquefaction susceptibility at a site based on information from penetration testing. In: Kartam N. Flood I. Garret J.H. (eds) Artificial Neural Networks for Civil engineers: Fundamentals and Applications, American Society of Civil Engineers, New York, 185–214.

2. Geology and depositional history of Cenozoic sediments of the Bengal Basin of Bangladesh

3. Alam M. 1990. Bangladesh in World Regional Geology. Columbia University Press, New York.

4. Banglapedia. 2011. National Encyclopedia of Bangladesh. http://geospatialworld.net/Paper/Application/ArticleView.aspx?aid=1429#sthash.katdxv8S.dpuf.

5. HBRI-BSTI. 1993. Bangladesh National Building Code. HBRI-BSTI, Dhaka.

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