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

• Main Authors: Rohaya Alias, Siti Jahara Matlan, Aniza Ibrahim
• Format: Article
• Language: English; English
• 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
• Institution: Universiti Malaysia Sabah

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...