1) weighted modulus
加权模量
1.
Based on the empirical relationship between soil deformation modulus and displacement,the foundation modulus distribution around the pile is determined,and the weighted modulus obtained through weighted averaging with respect to a range of soil.
首先基于桩土共同工作理论推导出水平荷载作用下桩侧土体内的位移与应力径向分布的弹性解析解;然后,根据变形模量与位移的近似关系确定桩侧地基土体内的变形模量分布,并通过一定范围内的加权平均获得地基土的加权模量,再由有限层法获得地基加权刚度,由此可近似考虑土体的分层与非线性特征。
2.
Then, according to the empirical relation between soil deformation modulus and displacement, the modulus distribution in the soil around the pile shaft and weighted modulus are obtained approxim.
根据土体变形模量与位移的近似关系获得桩侧地基土体的模量分布与加权模量,将其用于有限元–有限层法进行横向受荷桩的受力变形分析,可近似考虑土体的非均质与非线性等特性,并编制出计算程序。
2) weighted increment model
加权增量模式
3) weighted fuzzy similarity measure
加权模糊相似测量
4) parametric weighted fuzzy comprehensive evaluation method
参量加权模糊综合评判
5) Fuzzy Weighted Support Vector Machine(FW-SVM)
模糊加权支持向量机
1.
The texture information of the sample image is trained by using Fuzzy Weighted Support Vector Machine(FW-SVM),and the water decision function is got,through which the water region can be detected.
该方法采用树型小波对SAR图像进行分解,提取样本图像与待检测图像的中频信息,并进行纹理分析,利用模糊加权支持向量机对样本图像的纹理进行训练,从而获得判别水体的决策函数,通过该决策函数能够检测出图像的水体区域。
6) weighting variables
变量加权
1.
In this paper,the method of principal component analysis by weighting variables based on choosing suitable non-dimensional quantities of original data is presented,the authors also make quantitative evaluation to the polluting status in degrees for representative sections,and the system has more effectiveness and practicality than those existing.
在合理选择数据规格化方法基础上,建立水污染状况评价的变量加权主成分分析方法,并以判别分析方法就水质污染级别进行校验,实证分析结果表明:改进后的主成分分析方法和评价体系较已有方法效果有显著提高。
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