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二乘法

网络Partial Least Square, PLS; OLS; 2SLS

二乘法

网络释义

二乘法

Partial Least Square, PLS

...合等方法建立的，其中被普遍认为效果较好的是偏最小二乘法(Partial Least Square, PLS) [13] 。

OLS

...业产值、人口数之间的回归模型，并与用普通最小 二乘法（OLS）建立的模型进行比较，表明了 M估计不受异常点的影响， …

2SLS

我们采用两阶段最小 二乘法（2SLS）来估算制度对于经济增长的效应。控制变量同时出现在两阶段回归中。

least squares

...析法( Probit analysis) 和最小 二乘法(least squares) 原理,利用简单的直线回归方程运算来计算。

square law

直角三角形_馆档网 ... "方键"," square key" "二乘法,平方定律"," square law" "V形底水平仪"," square level" ...

MLSM

前者用移动最小二乘法( MLSM) 对区域内互不相关的节点进行场函数的拟合, 从而得到形函数, 不需要划分单元和单元联结信息…

FGLS

表2 中的模型1～4 均采用可行的广义最小 二乘法（FGLS）。模型1 假设截面之间无相互依赖性，且每组内部无时间相关性； …

例句：

Improved gradient method and enhanced least squares method have been used in different stage of model development.

整个过程分别采用改进的梯度法、带有遗忘因子的最小二乘法等算法进行设计。

The least square approach is applied to get regression curves and a design plan is proposed on the basis of the regression curves .

应用最小二乘法求出回归曲线，并根据回归曲线提出设计方案。

On the basis of the least squares , a center moving method by point to point searching can confirm the direction of the moving without probe .

在最小二乘法的基础上采用中心移动逐步搜索，能够不需试探便可确定搜索方向。

By linearizing the estimation model , an iterative solution of the roll angle can be achieved by means of least square method.

对估计模型进行线性化处理后，可利用最小二乘法来迭代求解滚动角。

Builds the performance curve regression equations of two types of pumps with the least square method, and gains the fitted curve equations .

利用最小二乘法建立了两种型号水泵的性能曲线回归方程组，从而得到了水泵的性能曲线方程。

Kalman filter (KF), based on the least square (LS), is a recursive algorithm used for the estimation of linear parameters.

卡尔曼滤波（KF ）是一种基于最小二乘法原理的线性估计递归（推）算法。

Based on the result of the road area detection , the road edge detection algorithm uses the least square method to fit the road edge.

基于道路区域检测结果，道路边线检测算法采用多项式模型，利用最小二乘法对道路边线进行拟合。

Then partial least squares method was used for selecting the effective wavelength interval of illumination .

然后应用偏最小二乘法选择合适的光源波段间隔。

The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters .

最小二乘法在化工中广泛用于数据拟合的线性和非线性回归及模型参数估值。

In comparison with the observational data, it is shown that the empirical method is better than the least square method .

通过与实际值的对比，表明经验法优于最小二乘法。

Thirdly , the least-square method based on relative error is proposed and used to fit the calibration curve of the ultrasonic sensors .

第三，提出了 “基于相对误差的最小二乘法 ”，并将其应用超声波传感器标定的数据拟合。

To solve this problem, the loss model parameters were identified by the least-squares algorithm with the measured data in this paper.

对此采用对实测数据进行最小二乘法辨识来获取电机的损耗模型参数。

In comparision with least squares and factor analysis , this method is superior in respect of no need of the total qualitative informations .

同最小二乘法、因子分析法相比，本法无需知道样品全部定性信息，即可进行定量。

and a correlation formula was fitted for specific thermal capa-city with temperature and carbon black loading by least square method.

用最小二乘法拟合出比热容与温度和炭黑用量的试验关系式。

The PLS component scores can be frequently computed by the nonlinear iterative partial least square method from the on-line process data .

根据在线生产的相关质量数据，采用非线性迭代偏最小二乘法获得影响因子的权重。

The damped least square method was applied in both identification of the linear model and study of the neural network .

线性模型的辨识和神经网络的学习均采用阻尼最小二乘法。

Then the more precise initial parameters could be obtained with a computationally attractive least squares method.

应用最小二乘法，得到较为精确的参数初始值；

Methods Partial least square (PLS) method was used to train the training sets and predict the predictive sets .

方法采用偏最小二乘法（PLS ）对校正集进行校正，并对预测集中的样本进行预测。

The objective function and state variables through the method of least squares approximation obtained by the design variables .

目标函数和状态变量通过最小二乘法由设计变量逼近求得。

The matching function was built by the Least Squares method, and it was solved by the genetic algorithms .

用最小二乘法建立曲面匹配的目标函数，并用遗传算法进行求解。

According to the least-squares method , it achieves point fitting by the characteristics of the grid .

提出了通过最小二乘法，并利用网格的特性实现点的拟合的方法。

The least square is applied to process the raw data for getting the roller profile .

应用最小二乘法作为获取辊型的数据处理方法。

Then , the parameters of the state matrixes in the rules of T-S model are determined initially with regressive least squares algorithm.

然后，通过回归最小二乘法初步确定 T-S 模型规则中的状态矩阵的参数。

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