Methods of Support Vector Machine on Classification of Expansive Soils

Hai Ying Yang; Yun Liu

doi:10.4028/www.scientific.net/AMR.531.562

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 531Methods of Support Vector Machine on...

Methods of Support Vector Machine on Classification of Expansive Soils

Abstract:

The classification of the grade of shrink and expansion for the expansive soils was the initial and essential work for engineering construction in expansive soil area. Based on the principle of support vector machine analysis, a classification model of expansive was established in this paper, including five indexes reflecting the shrink and expansion of expansive soil, liquid limit, swell-shrink total ratio, plasticity index, water contents and free expansive ratio and functions were obtained through training a large set of expansive samples. It was shown that the classification model of SVM analysis is an effective method performed excellently with high prediction accuracy and could be used in practical engineering.

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Periodical:

Advanced Materials Research (Volume 531)

Pages:

562-565

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.531.562

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Online since:

June 2012

Authors:

Hai Ying Yang, Yun Liu

Keywords:

Classification, Expansive Soil, Grade, Model, Support Vector Machine (SVM)

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References

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