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    Site Characterization Model Using Artificial Neural Network and Kriging

    Source: International Journal of Geomechanics:;2010:;Volume ( 010 ):;issue: 005
    Author:
    Pijush Samui
    ,
    T. G. Sitharam
    DOI: 10.1061/(ASCE)1532-3641(2010)10:5(171)
    Publisher: American Society of Civil Engineers
    Abstract: In 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
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      Site Characterization Model Using Artificial Neural Network and Kriging

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/55219
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    • International Journal of Geomechanics

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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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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian