查询词典 regression function

By dealing with regularization error,sample error and hypothesis error,we estimate the total error in terms of properties of the kernel,the input space,the marginal distribution,and the regression function of the regression problem.

样本相关的假设空间将为误差分析带来一项额外的假设误差，这一点与通常情况下样本无关的假设空间有本质的区别。

This thesis firstly elaborates on researches at home and abroad on factors affecting the development of the construction industry, defines the contents of the construction industry, introduces its function and expounds the impact mechanism of various factors affecting the construction industry. Secondly, this thesis carries on a brief analysis on the current situation of development in Anhui construction industry to reflect its achievements and shortage since the beginning of reform and opening up, and makes a comparative analysis and comprehensive evaluation on the regional development level of Anhui construction industry through the method of Factor Analysis. Thirdly, this thesis tries to calculate the contribution rate of technical progress, labor and capital in economic growth of Anhui construction industry with the method of linear regression, empirically analyze the external factors affecting the development of Anhui construction industry by means of co-integration and granger causality test, and predict the development of Anhui construction industry by using the method of principal components regression.

本文首先对国内外有关建筑业发展影响因素的研究现状进行详细论述，界定建筑业的内涵和介绍建筑业的作用，研究各因素对建筑业发展的影响机理；其次，对安徽建筑业发展现状作了概括性的分析，以反映改革开放以来安徽建筑业取得的成绩和存在的不足，并运用因子分析法对安徽建筑业区域发展水平作了比较分析和综合评价；再次，运用线性回归法测算出安徽建筑业经济增长中的技术进步贡献率、劳动贡献率和资本贡献率，然后运用协整和Granger因果检验方法实证分析安徽建筑业发展的外部影响因素，运用主成分回归方法对安徽建筑业发展作了精度较高的预测。

Based on analyzing regression analysis, neural network and the least square support vector machines that the three soft computing methods fitting for data fitting, in the paper try to use nonlinear regression analysis, the BP neural network based on Levenberg-Marquardt training algorithm, radial basis function neural network on orthogonal least square training algorithm and least square support vector machines for tracking the position of glass plate.

本文在分析适于数据拟合的回归分析、神经网络、最小二乘支持向量机这三种"软计算"方法的基础上，尝试将非线性回归分析方法，基于Levenberg-Marquardt算法的BP神经网络，基于正交最小二乘训练算法的径向基函数神经网络和最小二乘支持向量机应用于玻璃板位的跟踪中。

KNN analysis was independent of the correlated regression model, but directly affected the model structure. Via KPCA as a middle layer, under the instruction of assorted result of the kernel function, the method was able to capture the high-ordered principal components among the secondary variables, and use SVR to establish a correlated regression model between the featured principal components and the primary variable.

KNN分析独立于后继回归模型，却又直接影响模型结构，KPCA作为中间层，在KNN分类结果指导下提取不同类别包含辅助变量高阶信息的特征主元，然后使用SVR建立特征主元和主导变量之间的回归模型。

Standard curve ; linear regression method ; quasi-linear regression method ; function

标准曲线；直线回归法；拟线性回归法；函数

In this paper, we discuss the estimate of regression function in nonparametric regression model based on exponential in tegral mart in gale difference.

摘要本文研究了误差项是鞅差序列，且满足某种指数矩条件的非参数回归函数的估计。

In the second part , also under NA assumption, we worked on the consistency of kernel estimator of regression function in the nonparametric regression model Y_i =g+ε_i.

第二部分：我们研究了样本为NA相依的情况下，非参数回归模型Y_i=g+ε_ii=1，2，…，n中，回归函数核估计的强，弱相合性。

Support vector regression algorithm is an application of structural risk minimization principle in function regression.

支持向量机回归算法是结构风险最小化原理在函数回归方面的应用。

The support vector regression model is trained using historical data and the regression function is obtained.

根据历史数据对SVR进行训练，得到回归函数。

After estimation we obtain the OLS regression line, or the sample regression function SRF

在估计之后，我们得到OLS回归线，或称为样本回归方程

It was just a normal day of school

那只是上学的普通一天

Which is a very good reference in this issue.

这是一个在这个问题上很好的参考。