Application of Genetic Arithmetic and Support Vector Machine in Prediction of Compression Index of C...
Application of Genetic Arithmetic and Support Vector Machine in Prediction of Compression Index of C...
Application of Genetic Arithmetic and Support Vector Machine in Prediction of Compression Index of Clay
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Zurich: Trans Tech Publications Ltd
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English
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Zurich: Trans Tech Publications Ltd
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The compression index is an important soil property that is essential to many geotechnical designs. As the determination of the compression index from consolidation tests is relatively time-consuming. Support Vector Machine (SVM) is a statistical learning theory based on a structural risk minimization principle that minimizes both error and weight...
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Application of Genetic Arithmetic and Support Vector Machine in Prediction of Compression Index of Clay
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TN_cdi_proquest_miscellaneous_1671518167
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1671518167
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ISBN
9783037858820,3037858826
ISSN
1660-9336,1662-7482
E-ISSN
1662-7482
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