1) step by step back substitution algorithm
逐步回代法
1.
According to the observation file of control network,one is the step by step back substitution algorithm,with which a set of least independent close loops in control network can be produced automatically.
应用图论理论，直接根据控制网平差的基于测站的网点信息和观测值文件，提出了最小独立闭合环自动生成的逐步回代法和附合导线自动生成的组合法，并编程予以实现。
2) stepwise regression
逐步回归法
1.
Since variable selection is important in quantitative structure property/activity studies, in this paper comparison between the genetic algorithm and several common methods such as forward method, backward elimination and stepwise regression is performed.
鉴于变量选择在 QSAR/QSPR研究中的重要性 ,比较了遗传算法和几种传统的方法 ,如前进法、后退法及逐步回归法 。
2.
First the stepwise regression was applied to screen the habitat factors,then analytic hierarchy(AHP) process was applied to determined the weights of the factors.
首先应用逐步回归法筛选出了4个影响显著的生境因子坡向、坡度、海拔和土层厚度;通过层次分析法确定了各显著影响因子的权重,海拔的权重为0。
3) the method of stepwise regression
逐步回归法
1.
The temperature compensating model is gained in the help of the method of stepwise regression by temperature experiment repeated, and its applicability is validated.
通过重复性温度实验,利用逐步回归法得到了温度补偿模型,并对模型的实用性进行了实验验证。
2.
The relation of RLG s bias and temperature was analyzed in the help of the method of stepwise regression by temperature experiment repeated.
通过重复性温度实验,利用逐步回归法分析了机抖激光陀螺零偏与温度的关系,得到了零偏的实时温度补偿模型。
3.
The new kind of temperature compensating model is established in the help of the method of stepwise regression by lots of high-low temperature experiment repeated.
通过大量高低温环境的重复性温度实验,利用逐步回归法建立了一种零偏温度补偿模型,并对该模型的补偿效果进行了实验测试。
4) Stepwise regression method
逐步回归法
1.
Establishment of TA15 titanium alloy constitutive model based on stepwise regression method;
基于逐步回归法的TA15钛合金本构模型的建立
2.
Application of stepwise regression method in flood level forecast of the lower Yellow River;
逐步回归法在黄河下游洪水水位预测中的应用
3.
The“optimum”independent variable subsets of macro-variables testable(deformation temperature、strain rate and strain)influencing the flow stress have been determined by using stepwise regression method.
利用逐步回归法确定了影响流动应力的宏观可测变量(变形温度、应变速率和应变)的“最优”自变量子集,基于热压缩实验数据和部分神经网络预测数据,利用最小二乘估计算法求解模型回归参数值,建立了基于逐步回归法的 TAl5的材料本构模型。
5) step-by-step iterative method
逐步迭代法
1.
Speedup convergence of the step-by-step iterative method of GM(1,1) optimal model is defined, the concave-concave-convex features of which are well coincided with the original data sequence.
逐步迭代法 GM( 1,1)模型不仅收敛速度快 ,而且与原始数据序列的凹凸性保持一致。
6) stepwise regression method
逐步回归方法
1.
Based on the capacitance distributions from 12-electrod capacitance sensor,using stepwise regression method,the capacitance relation of oil-gas two phase flow based on flow pattern is developed.
基于12电极阵列电容传感器提供的电容测量信息,采用逐步回归方法,获得了与流型相关的电容关联式。
2.
Based on D-S evidence theory and stepwise regression method,combining the power spectrum density function characteristics of differential pressure fluctuation signals and capacitance information from capacitance sensor,a new flow pattern identification method of oil-gas two phase flow was proposed.
基于D-S证据理论和逐步回归方法,结合直管段差压波动信号的功率谱密度分布特征和电容传感器提供的电容信息,给出了一种油气两相流流型辨识的数据融合方法。
补充资料：逐步模糊聚类法
分子式：
CAS号：
性质：又称动态模糊聚类法。选定一批聚类中心，其指标能反映该类的特征，将样本向最近的聚类中心聚类。再根据分类结果确定新的聚类中心，其各项指标为该类中所有样本的相应指标的平均值。然后计算前后两聚类中心的差异，如差异大于某一阈值，说明分类不合理，需修改分类，即以新的聚类中心代替旧的聚类中心，直到前后两聚类中心的差异小于某一阈值，认为分类合理，从而终止分类过程。
CAS号：
性质：又称动态模糊聚类法。选定一批聚类中心，其指标能反映该类的特征，将样本向最近的聚类中心聚类。再根据分类结果确定新的聚类中心，其各项指标为该类中所有样本的相应指标的平均值。然后计算前后两聚类中心的差异，如差异大于某一阈值，说明分类不合理，需修改分类，即以新的聚类中心代替旧的聚类中心，直到前后两聚类中心的差异小于某一阈值，认为分类合理，从而终止分类过程。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条