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:English
English
Published: Science and Information Organization 2021
Subjects:
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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Institution: Universiti Malaysia Sabah
Language: English
English