Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

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Regressive approach for predicting bearing capacity of bored piles from cone penetration test data

© 2015 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. In this study, the least square support vector machine (LSSVM) algorithm was applied to predicting the bearing capacity of bored piles embedded in sand and mixed soils. Pile geometry and cone penetration test (CPT) results wer...

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Bibliographic Details
Main Authors:	Alkroosh, I., Bahadori, M., Nikraz, Hamid, Bahadori, A.
Format:	Journal Article
Published:	Kexue Chubanshe 2015
Online Access:	http://hdl.handle.net/20.500.11937/3435

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