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

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

Internet

http://hdl.handle.net/20.500.11937/42029

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