Application of support vector machine to classification of expansive soils

MA Wen-tao

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Application of support vector machine to classification of expansive soils

更新时间：2026-06-25

- Application of support vector machine to classification of expansive soils
- Vol. 26, Issue 11, (2005)
- 作者机构：
  
  宁夏大学数学计算机学院,银川,750021
- 作者简介：
- 基金信息：
- DOI：
  CLC： TU443
- Online First：03 January 2014，
  
  Published：2005
- 稿件说明：
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MA Wen-tao. Application of support vector machine to classification of expansive soils[J]. 2005, 26(11).
DOI：

MA Wen-tao. Application of support vector machine to classification of expansive soils[J]. 2005, 26(11). DOI：

摘要

将支持向量机方法应用于膨胀土分类问题中，建立了膨胀土分类的支持向量机模型。以膨胀土实测数据为学习样本，经过训练，得到膨胀土的分类区间。应用该模型对剩余的膨胀土数据进行预测，预测结果表明支持向量机分类模型性能良好、预测精度高、简便易行，是膨胀土判别的一种有效方法，具有广阔的应用前景。

Abstract

Based on the principle of support vector machine

a classification model of expansive soil is established. Meanwhile

the classifying blocks of expansive soil are obtained through training a large set of expansive samples. Then

a prediction for the classification of residual expansive soils has been carried out using this model. The researching results show that the classification model of support vector machine presents excellent performance

high prediction accuracy and is easy to run. As a result

it is an effective way and has wide applying prospect.

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Related Institution

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Changzhou Key Laboratory of Structure Engineering and Material Properties, Changzhou Institute of Technology

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