Prediction of cantilever retaining wall stability using optimal kernel function of support vector machine

The Support Vector Machine is one of the artificial intelligence techniques that can be applied to forecast the stability of cantilever retaining walls. The selection of the right Kernel function is very important so that the Support Vector Machine model can make good predictions. However, there are...

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Bibliographic Details

Main Authors:	Rohaya Alias, Siti Jahara Matlan, Aniza Ibrahim
Format:	Article
Language:	en en
Published:	Science and Information Organization 2021
Subjects:	TA630-695 Structural engineering (General)
Online Access:	https://eprints.ums.edu.my/id/eprint/31220/1/Prediction%20of%20cantilever%20retaining%20wall%20stability%20using%20optimal%20kernel%20function%20of%20support%20vector%20machine_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31220/4/Prediction%20of%20cantilever%20retaining%20wall%20stability%20using%20optimal%20kernel%20function%20of%20support%20vector%20machine.pdf https://eprints.ums.edu.my/id/eprint/31220/ https://www.scopus.com/record/display.uri?eid=2-s2.0-85109183276&doi=10.14569%2fIJACSA.2021.0120648&origin=inward&txGid=80d8aa261219475b50d1dc3d061fe0db http://dx.doi.org/10.14569/IJACSA.2021.0120648
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