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contributor authorPijush Samui
contributor authorT. G. Sitharam
date accessioned2017-05-08T21:32:10Z
date available2017-05-08T21:32:10Z
date copyrightOctober 2010
date issued2010
identifier other%28asce%291532-3641%282010%2910%3A5%28171%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/55219
description abstractIn this paper, the problem of site characterization is treated as a task of function approximation of the large existing data from standard penetration tests (SPTs) in three-dimensional subsurface of Bangalore, India. More than 2,700 field SPT values
publisherAmerican Society of Civil Engineers
titleSite Characterization Model Using Artificial Neural Network and Kriging
typeJournal Paper
journal volume10
journal issue5
journal titleInternational Journal of Geomechanics
identifier doi10.1061/(ASCE)1532-3641(2010)10:5(171)
treeInternational Journal of Geomechanics:;2010:;Volume ( 010 ):;issue: 005
contenttypeFulltext


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