| 黄土湿陷系数的偏最小二乘回归分析与模型 |
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| 引用本文： | 米海珍,周凤玺,杨文侠. 黄土湿陷系数的偏最小二乘回归分析与模型[J]. 兰州理工大学学报, 2004, 30(2): 110-112 |
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| 作者姓名： | 米海珍 周凤玺 杨文侠 |
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| 作者单位： | 兰州理工大学,土木工程学院,甘肃,兰州,730050;兰州理工大学,土木工程学院,甘肃,兰州,730050;兰州理工大学,土木工程学院,甘肃,兰州,730050 |
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| 摘 要： | 应用偏最小二乘回归分析方法,以黄土湿陷变形的结构理论为依据,在讨论分析了影响黄土湿陷变形的主要因素后,选取湿陷性黄土的天然含水量、干重度、天然孔隙比、饱和度和塑性指数5个基本物理指标作为自变量,通过回归分析建立了黄土湿陷系数的预测方程,并阐述了该方程中各回归系数所对应的物理意义.
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| 关 键 词： | 黄土 湿陷系数 偏最小二乘 回归分析 |
| 文章编号： | 1000-5889(2004)02-0110-03 |
| 修稿时间： | 2003-10-14 |
Partial least-squares regressive analysis and model of coefficient of collapsibility of loess |
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| MI Hai-zhen,ZHOU Feng-xi,YANG Wen-xia. Partial least-squares regressive analysis and model of coefficient of collapsibility of loess[J]. Journal of Lanzhou University of Technology, 2004, 30(2): 110-112 |
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| Authors: | MI Hai-zhen ZHOU Feng-xi YANG Wen-xia |
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| Abstract: | According to the structural theory of collapsible loess and after discussing and analyzing the major factors that affect the deformation of collapsible loess, five essential physical indexes such as natural moisture content,dry unit weight,natural void ratio,degree of saturation and plasticity index are selected as the independent variables by means of partial least square regressive analysis method. A regression relationship between coefficient of collapsibility and its influential factors is established with the same analysis method, and the physical meaning of corresponding regressive coefficients in the equation are expatiated on. |
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| Keywords: | loess collapsibility coefficient partial least-squares regressive analysis |
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