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.
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.
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.
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.
根据试验数据，应用多元非线性回归方法建立了密度与摆放位置关系的数学模型，并讨论了改善烧结密度的措施。
Maths model is built up to show the relationship of density with locating place using multiple nonlinear regression analysis of experimental results.
对SVM多元非线性回归泛化性能进行测试，其均方根相对误差为1.06%，平均绝对相对误差为0.96%，最大绝对相对误差为1.16%。
The root mean square relative error, mean absolute relative error and maximize absolute relative error of SVM model generalization performance are 1.06%, 0.96% and 1.16%, respectively.
文章通过对一套市场价格预测模型体系的介绍，综合运用时间序列模型、多元非线性回归和组合模型来预测市场价格走势，探索从多角度综合预测市场价格的问题。
In this paper, a new model system is introduced, which synthetically applies time series model, nonlinear regression and combination forecasting model to forecast the change of the market price.
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.
即把一元非线性回归和多元线性回归结合起来，构造一个混合回归模型，这样就减小了模型的残差平方和，从而提高预报的准确性。
We combine unitary nonlinear regression with multivariate linear regression, it can reduce the error sum of squares of the model and improve the precision of forecast.
根据实测的数据，采用一元线性、多元线性和非线性回归进行拟合，得到34个红海榄幼苗主要形态因子和生物量的回归模型。
Based on the data observed, 34 regression models on the morphological variables and biomass of the seedlings were set up using linear, multilinear and non linear regression.
根据实测的数据，采用一元线性、多元线性和非线性回归进行拟合，得到34个红海榄幼苗主要形态因子和生物量的回归模型。
Based on the data observed, 34 regression models on the morphological variables and biomass of the seedlings were set up using linear, multilinear and non linear regression.
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