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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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
K. N. Toosi University of Technology
2014-05-01
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| Series: | Numerical Methods in Civil Engineering |
| Subjects: | |
| Online Access: | https://nmce.kntu.ac.ir/article_160414_bc23cbc0520dc57c813ad98c1429f9f5.pdf |
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