Prediction of loess collapsibility by using data mining based on least squares support vector machines
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Prediction of loess collapsibility by using data mining based on least squares support vector machines
Vol. 31, Issue 6, (2010)
作者机构:
1. 长安大学 建筑工程学院,西安,710061
2. 上海交通大学 环境科学与工程学院,上海,200240
3. 中煤西安设计工程有限责任公司,西安,710054
作者简介:
基金信息:
DOI:
CLC:TU441
Online First:25 June 2010,
Published:2010
稿件说明:
移动端阅览
JING Yan-lin, WU Yan-qing, LIN Du-jun, et al. Prediction of loess collapsibility by using data mining based on least squares support vector machines[J]. 2010, 31(6).
DOI:
JING Yan-lin, WU Yan-qing, LIN Du-jun, et al. Prediction of loess collapsibility by using data mining based on least squares support vector machines[J]. 2010, 31(6).DOI:
Prediction of loess collapsibility by using data mining based on least squares support vector machines