Support vector machine (SVM) prediction of coefficients of curvature and uniformity of hybrid cement modified unsaturated soil with NQF inclusion

Support vector machine (SVM) prediction of coefficients of curvature and uniformity of hybrid cement modified unsaturated soil with NQF inclusion

Support vector machine (SVM) with its feature known as the statistical risk minimization (SRM) has been employed in the prediction of coefficient of curvature and uniformity on unsaturated lateritic soil treated with composites of hybrid cement and nanostructured quarry fines. This feature utilized...

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Bibliographic Details
Main Authors: Kennedy C. Onyelowe, Chilakala B. Mahesh, Bandela Srikanth, Chidobere Nwa-David, Jesuborn Obimba-Wogu, Jamshid Shakeri
Format: Article
Language:English
Published: Elsevier 2021-12-01
Series:Cleaner Engineering and Technology
Subjects:
Support vector machine (SVM)
Coefficient of curvature
Coefficient of uniformity
Model performance evaluation
Sensitivity analysis
Unsaturated soil
Online Access:http://www.sciencedirect.com/science/article/pii/S2666790821002500

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http://www.sciencedirect.com/science/article/pii/S2666790821002500

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