So, it can be confirmed that the movement energy expenditure can be estimated by regression modeling.
因此，可以确定的是，运动能量消耗可以通过回归建模估算得到。
To solve the problem, this paper presents a fixed stepwise regression modeling method for linear system with color noise.
针对这一问题，该文提出一种修正的逐步回归法，用于对有色噪声环境下的线性系统建模。
The method of orthogonal polynomial regression was used for regression modeling, and then the regression equations and regression coefficients were tested for significance.
采用正交多项式回归分析法建立回归模型，并对回归方程和回归系数进行显著性检验。
This article mainly introduces the principle of the prediction for auto regression modeling and recommends the AR arithmetic of prediction for ship pitching motion in detail.
介绍了自回归时间序列分析法的建模预报原理，并给出了船舶纵摇运动预报应用实例。
Simple linear regression is also a versatile modeling technique.
简单线性回归还是一种多用途的建模技术。
After expounding the modeling method of multiple linear regression based on least square algorithm, the thermal distortion model is modelled.
在介绍了基于最小二乘法的多元线性回归建模方法后，建模了机床的热变形实时预测模型。
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。
Through the regression analysis using the data from modeling tests, the formulae for predicting the spattering distances at different conditions of ground were fitted out.
利用模拟试验取得的数据，通过回归分析，拟合出不同场地条件下烟囱触地飞溅物距离的预测公式。
Based on the basic principle and modeling method of partial least-square regression (PLSR), establishing the mathematical model for parameter prediction of the steam turbine units.
根据偏最小二乘回归的基本原理和建模的基本思路，建立数学模型并将其应用于电厂机组的参数预测中。
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。
Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression (SVR).
针对非线性控制系统辨识建模较为困难的问题，利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。
A new algorithm for modeling regression curve is put forward in the paper, it combines B-spline network with improved support vector regression.
将改进的支持向量回归机与B -样条网络相结合，提出了一种建立回归曲线模型的新算法。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
Methods: Intervention modeling was carried out on 1075 perinatals (317 cases with birth defects, 758 cases without birth defects as control) born in Guangxi province in 2000 with COX regression model.
方法采用COX回归模型对广西2000年出生的围产儿1075例(包括出生缺陷儿317例和正常对照儿758例)进行干预模式拟合。
For one linear regression problem in statistical method, the method of modeling is described in this paper.
针对统计方法中一元线性回归问题，详细描述了其建模方法。
The results show that the PTA crystallization kinetics parameters using optimization and regression can be utilized preferably to the modeling of purified terephthalic acid multistage crystallizer.
研究结果表明，优化回归得到的精对苯二甲酸结晶动力学方程能够较好地模拟PTA连续多级降压蒸发结晶过程。
Bayesian modeling and inference for generalized linear models, accelerated life failure models, Cox regression models and piecewise exponential models.
贝叶斯推理的模型和广义线性模型，加速寿命故障模式，Cox回归模型和分段指数模型。
At the same time, the results of multiple comparisons among different types of incubatees support the conclusion of multiple linear regression and structure equation modeling.
与此同时，不同类型在孵企业多重比较的结果也支持本文多元回归分析和结构方程模型分析的结论。
For the frequently scene switching video traffic, it USES Markovian to simulate the switching among the scenes, and USES self-regression model to modeling inside the scene.
针对具有频繁场景切换的视频流，用马尔可夫链来模拟视频场景之间的切换，场景内部用自回归模型来建模。
The radial basis function networks (RBFN) was combined with the cyclic subspace regression (CSR) in this paper, and a modeling approach by RBFN-CSR was designed.
运用径向基函数网络结合偏最小二乘回归的方法建立了甲醇合成反应器出口甲醇含量的预测模型。
This essay combines to the characteristics of oil output, forecasts the crude oil output with time series modeling approach and regression analysis method and has a high precision.
本文结合石油行业产量的特点，运用SAS系统中时间序列建模方法及回归分析方法对原油月产量作了预测分析，预测结果精度较高。
This essay combines to the characteristics of oil output, forecasts the crude oil output with time series modeling approach and regression analysis method and has a high precision.
本文结合石油行业产量的特点，运用SAS系统中时间序列建模方法及回归分析方法对原油月产量作了预测分析，预测结果精度较高。
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