• With the nonlinear regression method, results can be improved to get more optimal regression functions.

    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。

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  • The empirical relationship of the differences was obtained using nonlinear regression method and verified with the determined data.

    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。

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  • On this basis, the empirical computing formula of skewed-plate bridge maximum reaction for design is obtained using poly cell nonlinear regression method.

    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。

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  • A simple iteration method is proposed for the complex nonlinear (regression) analysis of heat transfer data.

    在对复杂的非线性方程进行回归分析时,提出了一种简单的迭代分析方法。

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  • The mode of temperature gradient of this Bridges box girder is developed by the method of nonlinear regression.

    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。

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  • Based on the locally kernel weighted least squares fit of the nonparametric regression models, this paper presents the nonparametric testing method for nonlinear cointegration.

    本文基于非参数回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。

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  • The RBF network function approximation theory and method are introduced, and the method of nonlinear error correction of sensor is presented based on generalized regression neural network(GRNN).

    介绍了径向基函数网络的函数逼近原理和方法,提出了一种基于广义回归神经网络(GRNN)的传感器非线性误差校正方法。

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  • Based on the local kernal weighted least squared fit of the nonparametric and additive regression model, this paper presents the nonparametric testing method for nonlinear cointegration.

    本文基于非参数可加回归模型的局部核权最小二乘法提出变量间非线性协整的一种非参数检验方法。

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  • The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.

    利用支持向量回归的方法对非线性过程进行建模,采用预测函数控制方法进行控制。

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  • A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.

    提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。

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  • A support vector regression method based on classification is presented to solve the nonlinear regression problem with unknown data distribution and mathematical model.

    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。

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  • Simulation results and real measuring data calculations show that the precision estimation efficiency can be obtained by our method for a large class of linear and nonlinear regression models.

    仿真和实算结果表明,对于一大类线性和非线性回归模型,该方法给出的回归模型的参数估计效率的估计更接近模型参数估计效率的真值。

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  • Nonlinear multiple regression model on the structure activity relationship of ternary dissymmetric organic phosphate insecticide is obtained by quadratic polynomial stepwise regression method.

    采用二次多项式逐步回归分析法建立了三元不对称有机磷酸酯类杀虫剂的多元非线性构效关系回归模型。

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  • Trial-and-error method of the linear regression is introduced to determine the reasonable range of geological parameters. And the nonlinear least square method to calculate OGIP.

    采用直线回归的试算法确定气藏合理地质参数的范围,介绍了非线性最优化天然气储量的计算方法。

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  • Applying the method of kernel regression, this paper puts forward a type of nonlinear model of stock volumes with prices.

    利用核回归方法,建立股票成交量与价格的非线性分析模型。作为模型的应用,提出强弱弹性指数概念。

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  • Linear regression equation is analyzed by using indirect error-smoothing, and nonlinear regression equation is optimally selected by using the method of comparison of mid-point of curve.

    用间接观测平差法分析线性回归方程,用曲线中点比较法选择最优非线性回归方程。

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  • Results:Giving a new method calculating regression parameters of nonlinear biology models.

    结果:给出一个计算非线性生物模型回归参数的新方法。

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  • Objective: To study the disturbance creatd by the variable transformation within regression parameters of nonlinear biology models and find a new method removing or reducing the disturbance.

    目的:研究变量代换对非线性生物模型回归参数的干扰,寻找消除或减少该干扰的新方法。

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  • The nonlinear stepwise regression method is used to make typhoon activity tendency forecast.

    利用非线性逐步回归方法作台风活动趋势的预报。

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  • 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.

    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。

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  • The method of support vector regression which can well resolve the problem with the insufficient swatch, nonlinear and high dimension is introduction to predict the development index of gas-field.

    同时针对神经网络易于陷入局部极值、结构难以确定和泛化能力较差的缺点,引入了能很好解决小样本、非线性和高维数问题的支持向量回归机来进行油气田开发指标的预测;

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  • Finally, the precision of mixed models was compared with the precision of conventional nonlinear ordinary regression analysis method based on validation data.

    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。

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  • The static state models of an EGO sensor were obtained by using piecewise polynomial method and nonlinear regression analysis method based on available experimental data.

    在发动机实验台上,采用比较法对EGO传感器进行了稳态标定实验。

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  • The method of BP neural network and the method of multiple multivariate nonlinear regression were comfortable for copy with dominant hue green and blue.

    BP神经网络法与多重多元回归法对以绿色调和蓝色调为主的原稿分色有优势,三维查找表法对以蓝色调为主的原稿分色有优势。

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  • The method of BP neural network and the method of multiple multivariate nonlinear regression were comfortable for copy with dominant hue green and blue.

    BP神经网络法与多重多元回归法对以绿色调和蓝色调为主的原稿分色有优势,三维查找表法对以蓝色调为主的原稿分色有优势。

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