Application of SVM in Predicting the Strength of Cement Stabilized Soil
Application of SVM in Predicting the Strength of Cement Stabilized Soil
Application of SVM in Predicting the Strength of Cement Stabilized Soil
About this item
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Publisher
Zurich: Trans Tech Publications Ltd
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Language
English
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Publisher
Zurich: Trans Tech Publications Ltd
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Scope and Contents
Contents
Support Vector Machine is a powerful machine learning technique based on statistical learning theory. This paper investigates the potential of support vector machines based regression approach to model the strength of cement stabilized soil from test dates. Support Vector Machine model is proposed to predict compressive strength of cement stabilize...
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Full title
Application of SVM in Predicting the Strength of Cement Stabilized Soil
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Author / Creator
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Record Identifier
TN_cdi_proquest_journals_1442960554
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_1442960554
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ISBN
3037853891,9783037853894
ISSN
1660-9336,1662-7482
E-ISSN
1662-7482
DOI
10.4028/www.scientific.net/AMM.160.313
