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Development of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures
Version 3 2024-06-05, 09:59
Version 2 2023-06-26, 06:48
Version 1 2023-03-01, 05:03
conference contribution
posted on 2024-06-05, 09:59 authored by Abolfazl BaghbaniAbolfazl Baghbani, Firas Daghistani, Hossam Abuel Naga, Susanga CostaSusanga CostaDevelopment of a Support Vector Machine (SVM) and a Classification and Regression Tree (CART) to Predict the Shear Strength of Sand-Rubber Mixtures
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Pagination
521-527Location
Newcastle, N.S.W.Start date
2022-12-14End date
2022-12-16Language
EnglishPublication classification
E1 Full written paper - refereedTitle of proceedings
ISGSR 2022 : Proceedings of the 8th International Symposium for Geotechnical Safety and Risk 2022Event
International Symposium for Geotechnical Safety & Risk. (8th : 2022 : Newcastle, N.S.W.)Publisher
Research PublishingPlace of publication
SingaporeUsage metrics
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