非线性回归和二次响应面模型。
计算线性与非线性回归模型的能力是R的强大功能之一。
One of r's strengths is its ability to calculate linear, as well as nonlinear regression models.
介绍非线性回归和操作条件的非线性优化方法。
The non linear regression and non linear optimization methods for operating conditions were introduced.
采用多元非线性回归法得到了后动态再结晶模型。
The model of post-dynamic recrystallization has been obtained by using multivariate nonlinear regression analysis.
非线性回归的LS估计问题是一类重要的统计问题。
The LS-estimator in nonlinear regression problems is an important statistical estimator problem.
本文则讨论加权非线性回归方差齐性的假设检验问题。
In this paper, we extend their result to nonlinear regression.
给出基于最小一乘准则的非线性回归模型的参数估计算法。
In this paper, a parameters evaluation algorithm based on the least absolute criteria for non linear regress is developed.
采用非线性回归的方法，提出了该桥混凝土箱梁的温度梯度模式。
The mode of temperature gradient of this Bridges box girder is developed by the method of nonlinear regression.
以BP网络为例给出了基于人工神经网络的非线性回归实例分析。
Based on BP network, the example of nonlinear regression by artificial neural networks is given.
同时，用非线性回归技术计算了旱地地膜穴播春小麦的水分敏感系数。
In the meantime, the water sensitive coefficient of the spring wheat was computed by nonlinear multiple regression methods.
提出了一种结合非线性回归技术的灰色GM(1,1)模型的改进模型。
An improved grey GM (1, 1) model using a technique of nonlinear regression is proposed.
结合非线性回归方法，可以对回归结果进一步优化，得到更优的回归方程。
With the nonlinear regression method, results can be improved to get more optimal regression functions.
本文给出了若干近似公式，以分析非线性回归模型的最小二乘估计的残差。
Several approximate formulas are given for residual analysis of the least square estimator in nonlinear regression model.
支持向量机(SVM)是一种线性机器，广泛用于模式分类和非线性回归。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
边坡变形的复杂性决定了运用非线性回归模型很难准确解决边坡变形规律。
Because of complex deformation on slope, it is difficult to handle the regular pattern of deformation on slope by applying non linear regression model accurately.
对这些操作状态进行多元非线性回归，得到在全操作范围都通用的经验公式。
The empirical formula is gained by using nonlinear regression of those operation points.
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。
The least square method is popularly used in linear and non-linear regressions for data fitting and estimating model parameters.
结果表明，神经网络的预测效果比线性回归和简单的非线性回归有明显提高。
The Results show that the forecast value of ANN is clearly better than that of regression analysis method.
在此基础上导出了带约束非线性回归模型度量影响的诊断统计量及其曲率表示。
By the curvature measures, the diagnostic statistics of measuring influence in nonlinear regression with restriction are obtained in terms of curvature arrays.
最后，利用验证数据对混合模型方法与传统的非线性回归模拟方法进行精度比较。
Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.
在此基础上，应用多元非线性回归方法得到了斜板桥最大支反力实用设计计算公式。
On this basis, the empirical computing formula of skewed-plate bridge maximum reaction for design is obtained using poly cell nonlinear regression method.
用非线性回归方法得出了水样不同处理方式下总磷间的经验关系式，并进行了验证。
The empirical relationship of the differences was obtained using nonlinear regression method and verified with the determined data.
进而对结果进行多元非线性回归拟合，确定了尘土量与振动时间、频率因素的函数关系。
Afterwards the results are analyzed through nonlinear regression in order to get the function between the amount of dust particles and time of vibration and vibration frequency.
通过非线性回归算法对模型参数进行回归计算，最终取得整个淬火过程的换热系数公式。
The model parameters were calculated through the nonlinear regression algorithm. Thus, the formula of heat transfer coefficient for the quenching process was obtained.
针对温度对废气氧传感器输出的影响，建立了带温度校正的EGO传感器非线性回归模型。
For the influence of temperature to EGO sensor's output, its nonlinear regression models which include temperature's modifying term be achieved.
根据多元酸碱滴定计算通式，针对实际情况化简后，非线性回归同时求出浓度和条件离解常数。
On the basis of our mathematic models of the titration, the content and conditional dissociation constant may be determined by using nonlinear regression.
这一点也是目前非线性回归分析中灵活性较高、人为因素复杂且无一般程式可供遵循的难点问题之一。
These are two kinds of difficult problems in Nonlinear Regression Analysis for their complexities and flexibilities in proceeding by hand without normal method to abide by.
研究了带有约束的均值漂移和方差加权的混合非线性回归模型．得到了相应的一阶和二阶诊断统计量。
We study restriction of Nonlinear Regression Diagnostic Models with case-weights and meanshifte simultanously, and some new diagnostic statistics are derved.
提出了一种基于分类技术的支持向量回归方法，解决数据分布未知、数学模型未知的非线性回归问题。
A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.
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