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。
Besides, the LQ theorem presented in this paper can be used to change a nonlinear single regression problem to a linear one by means of transformation of variables.
此外，本文提出的LQ定理使我们能用相关分析法，通过变量变换，把单因素非线性回归问题，化成线性形成来处理。
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.
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。
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。
A stepwise nonlinear fitting procedure was proposed to nonlinear fitting equations that USES Marquardt nonlinear fitting analysis and stepwise linear regression alternatively.
对于非线性函数线性组合型相关方程，本文提出了交替运用非线性拟合和逐步线性回归分析相结合的方法一逐步非线性拟合。
A kind of nonlinear regression estimator for limited Population is given and the quality and the sampling variance about is discussed.
对有限总体在不放回抽样的方法下，构造了一类非线性回归估计量，讨论了它的性质及其有关抽样误差．。
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。
The support vector machine (SVM) is a linear classification machine, it is used commonly in the pattern recognition and nonlinear regression.
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。
An improved grey GM (1, 1) model using a technique of nonlinear regression is proposed.
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。
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。
Data smoothing is a perpetual topic in mathematical statistics. In practice we usually use regression to smooth data, including linear regression and nonlinear regression.
数据拟合是数理统计学中的一个永恒话题，在实际工作中我们最常用的拟合方法是回归分析，其中包括线性回归和非线性回归。
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。
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。
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。
NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting.
NLREG是一款强大地统计分析软件。能够进行线性和非线性回归分析，表面和曲线拟和。
A new scaling kernel support vector regression was proposed for nonlinear system identification problem.
提出一种新的尺度核支持向量回归方法，并应用于非线性系统辨识问题。
The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.
基于非线性自回归（NARX）动态神经网络模型结构建立了总体转矩需求计算模型。
The total torque requirement is calculated by a nonlinear auto-regression with exogenous input (NARX) dynamic neural network model.
基于非线性自回归（NARX）动态神经网络模型结构建立了总体转矩需求计算模型。
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