1) data characteristics and weighting
数据因素和因子权重
2) factor weight
因素权重
1.
ased on the theory of errors and practices of weighting in urban land classification, the standard error and the accuracy of the estimation of the classification factor weights estimated by AHP and Delphi is analyzed.
从城市土地定级因素权重确定的实际问题出发,依据误差理论采用AHP法和Delphi法计算定级因素权重的精度及其中误差,并依据中误差的高低,探讨了科学确定最终城市土地定级因素权重的方法,最后针对实例进行了有益的尝试。
2.
In fuzzy comprehensive evaluation,how to decide factor weights is very important but difficult,which involves the rationality and authenticity of eveluation results.
利用模糊推理技术,提出了一种基于模糊推理的因素权重确定方法,其利用人们处理复杂问题的逻辑思维方式,建立评价空间和单位评价空间的映射,得到模糊关系方程并用于确定因素的权重。
3.
This text applies AHP to appraisal factor weights assessing problem in the job evaluation,has very strong operation and offer the reliable basis for scientific management in the enterprise.
本文把层次分析法应用于岗位价值评估中的评价因素权重的确定,具有很强的操作性,为企业的科学管理提供了可靠的依据。
3) data reuse factor
数据重用因子
4) weight factor
权重因子
1.
Revision on solution of the renormalization group for Ising model with weight factor;
利用权重因子修正伊辛模型重正化群解
2.
Meanwhile,quasi-weight factors for classification were adopted to resolve problems of classification error due to imbalance of sample types and numbers.
介绍了支持向量机算法的原理,建立了基于支持向量机的水质评价多层次分类检测模型,通过提取水质评价标准中的物质成分为特征参数,利用几个SVM分类器的串联组合,实现对水质的分类和识别,同时,引入类权重因子,解决训练样本类别数量不平衡而导致的错分问题,实验结果显示该方法提高了水质评价的准确性和效率。
3.
This algorithm is simple and independent of initial states, the value of weight factor can be self adaptively decided.
该算法操作简单 ,与初始状态无关 ,并且很好地解决了权重因子的自适应取值问题 。
5) weighting factor
权重因子
1.
Expressing weighting factor in terms of refractive index to study multi-layer mirrors;
利用由折射率表示的权重因子研究多层介质镜
2.
And the smoothed precise of Hatch filtering is higher than any other methods when the effect of phase-smoothed pseudo-range with different weighting factors are analyzed.
以载波相位观测值直接计算得到的电离层延迟量作为真值,比较了伪距观测值及相位平滑后的伪距所计算得到的电离层延迟改正数,结果表明平滑后的伪距精度明显提高,同时还分析了采用不同权重因子的平滑方法对伪距进行相位平滑的效果,分析显示直接采用Hatch滤波方法时平滑精度相对较优,且有计算简单的优点。
3.
Finally a method is put forward to improve the front-end load through setting Weighting factor.
本文大致介绍了分布式HLR技术原理,并分析了分布式HLR中前端负荷分担机制和容灾机制,对几种现在主流的负荷分担方式进行了分析对比,最后提出了一种增加权重因子的方法对现有的分布式HLR前端负荷机制进行改进。
6) weight factors
权重因子
1.
With the introduction of Vapnik s ε-insensitive loss function and the new weight factors, the new objective function is re-constructed, and consequently, its new update rules are derived according to the Lagrangian optimization theory.
该算法的基本思想是通过引入Vapnik’sε-不敏感损失函数和权重因子重新构建目标函数 ,并利用优化理论推导出新的学习公式。
2.
A new method is applied in this article to the quantitative phase analysis for weight factors of X-ray diffraction intensity.
提出了X射线衍射强度的权重因子定量相分析的新方法。
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