Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation

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Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation

This study examines the capability of the Relevance Vector Machine (RVM) and Multivariate Adaptive Regression Spline (MARS) for prediction of ultimate capacity of driven piles and drilled shafts. RVM is a sparse method for training generalized linear models, while MARS technique is basically an adap...

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Bibliographic Details
Main Authors:	Samui, P., Shahin, Mohamed
Format:	Journal Article
Published:	Khaje Nasirodin Toosi University of Technology 2014
Subjects:	Prediction multivariate adaptive regression spline axial capacity pile foundations relevance vector machine
Online Access:	http://hdl.handle.net/20.500.11937/42029

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