• The sample classification method provided is adaptable to multivariate parameters regression analysis of various fields.

    给出的样本分类方法对各种领域多元参数回归应用具有重要意义。

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  • Based on the technical parameters for the performance of engines, the economical index of engines is predicted and analyzed by the theory of fuzzy linear regression.

    由发动机性能的设计技术参数,运用模糊线性回归理论建立了发动机经济性指标的模糊预测模型,并对其经济性指标进行预测和分析。

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  • In Chinese reading, the parameters of eye movement include viewing position, saccade, regression, fixation duration, etc.

    中文阅读眼动特征的评估参数主要包括注视点停留位置、眼跳、回视和注视时间等。

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  • Parameters describing character of gray cast graphite morphology such as fractal dimension, roughness and regression coefficients were used to the classification.

    用于描述石墨形态的特征由分形维、粗细参数和二维自回归系数共同组成。

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  • Parameters of aircraft effectiveness is analyzed, and a new effectiveness forecasting method based on partial least-square regression is proposed.

    通过实例与神经网络法的结果进行了比较,结果表明偏最小二乘回归更精确和简单。

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  • The regression equations were optimized through exterior penalty function method. So the best structure parameters were obtained.

    利用外点惩罚函数法对回归方程进行优化,得出最佳的结构参数。

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  • By stepwise regression analysis of test results, the notabilities of effect on stress corrosion cracking susceptive indexes of medium parameters are revealed.

    通过试验数据的逐步回归分析,进一步揭示试验介质参数对应力腐蚀敏感性指数影响的显著性。

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  • The significance test is made to the parameters by the stepwise regression method.

    并经逐步回归方法对参数的显著性进行检验。

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  • Through sifting the characteristic parameters of artery pulse wave, a multiple regression equation to measure the rat artery pressure was developed indirectly.

    通过提取动脉脉搏波特征参数,建立了间接测定大鼠动脉血压的多元回归方程。

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  • The regression orthogonal test approach can be used to optimize the control parameters for nonlinear systems.

    提出了一种优化非线性系统控制参数的方法——回归正交试验法。

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  • Parameters of the model are measured by a linear regression technique and a maximum likelihood method.

    在因子范围服从对数正态分布下,应用线性回归技术和极大似然法建立了模型参数的测定方法。

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  • A dynamic catalyst coking model and multi-variant linear regression model are used to estimate the parameters of catalyst coking model.

    提出了采用动态结焦模型以及新鲜催化剂结焦速率的线性回归模型来估计结焦模型参数的方法。

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  • Marginal regression models can be used to estimate regression coefficients and association parameters for two kinds of data.

    对两种类型资料边际回归模型都可以同时估计回归系数和关联参数。

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  • Adopting new type diagonal regression neural network to identify the system model, the parameters of PID controller have been set, and the multi -variable decoupling control being realized.

    采用新型对角回归神经网络来辩识系统模型,可对PID控制器参数进行整定,实现多变量解耦控制。

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  • Generalized Estimation Equation (GEE) was used to estimate parameters of poisson regression model.

    采用了通用估计方程(GEE)方法对泊松回归模型进行参数估计。

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  • The regression equation of cutting force meets the experiment result very well, the response curved face derived from the regression equation can help to choose proper high-speed cutting parameters.

    切削力回归方程与实验高度符合,运用该回归方程作出的响应曲面有助于合理选择铝衬微波印制板高速铣削加工切削参数。

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  • According to the relative data of typical sections, the relationship between traffic accidents and road vertical section parameters was studied based on statistics and regression methods.

    结合典型长大下坡路段的交通事故数据,运用数理统计与回归分析方法,研究了交通事故与道路纵断面参数之间的关系。

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  • A method in which a data base and regression will be employed has been studied for predicting weld bead shape and selecting optimum welding parameters in arc welding processes.

    本文研究了一种使用数据库及回归分析技术在电弧焊中预测焊道形状及选择最佳焊接参数的方法。

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  • It is feasible to predict soil infiltration capacities by routine physical parameters with stepwise regression models with multiple units.

    采用多元逐步回归模型用常规土壤物理参数对土壤水分入渗模型参数进行预报是可行的。

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  • Model parameters are computed using a weighted linear regression technology according to the different impacts of rate point to estimation of model parameters.

    利用率点对模型参数估计的影响强弱,使用一种加权的线性回归模型参数估计算法。

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  • A robust parameters estimation algorithm is proposed in this paper, which is based on uniform design for a linear regression model in the case of its coefficient matrix with random disturbance.

    针对一个线性回归模型的系统矩阵存在的随机扰动情况,提出一种基于均匀设计的稳健参数估计算法。

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  • The model parameters are estimated by linear regression.

    用线性回归的方法计算出相应的模型参数。

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  • A quantitative regression model of relationship between the character parameters of roots and yield of rice was developed by data analysis.

    通过分析建立了水稻根系参数与产量之间的定量回归模型。

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  • Combining the new measure with the forward regression orthogonal least square (OLS), not only the parameters of the classification hyperplane, but also the important input nodes can be obtaind.

    提出一种基于输入集分类函数的新的距离度量方法,它与前传回归的正交最小二乘法相结合,不仅可以学习分类超平面的参数,而且可以选择重要的输入节点。

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  • The system is employed for confined and shear test. Then sand parameters are obtained through regression statistics of test data.

    利用该系统进行沙土的承压及剪切实验,对实验数据进行回归统计分析,获得实验用沙土参数。

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  • Our BASIC program is used in the calculation and regression analysis for clw yarns, the plural linear regression equations between technical parameters and quality targets are given.

    并利用我们编制的BASIC程序,在电子计算机上对包芯纱进行了计算与回归分析研究, 打印出了各工艺参数与各质量指标之间的多元线性回归方程。

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  • The research about least square estimation of regression parameters in the linear model has included integrated and systemic results.

    对于线性模型中回归参数的最小二乘估计的研究工作已经有了系统和完整的研究结论。

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  • The fuel consumption regression equations were established with two structure parameters.

    建立了燃油消耗率与这两个参数的回归方程。

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  • The fuel consumption regression equations were established with two structure parameters.

    建立了燃油消耗率与这两个参数的回归方程。

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