Returning to fraud detection, imagine a linear regression model with a transaction amount feature.
回到欺诈检测问题，设想一个具有交易金额特征的线性回归模型。
Meanwhile, a linear regression model and a BP neural network model for predicting the springback quantity were set up.
同时，分别建立了回弹量的线性回归预测模型和BP神经网络预测模型。
Study laws of distance discriminating results to red and green obstacles change with velocity at different depths distance and establish a linear regression model and BP neural network model.
针对不同空间距离和色调障碍物，建立距离判识结果随速度变化的一元线性回归模型及BP神经网络模型；
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。
A reconstructing method for random weighting approximations is proposed in approach to the distributions of the parameter estimates in general linear regression model.
对一般线性回归模型中有关参数估计分布的模拟问题，给出一种随机加权逼近的再构造方法。
Finally, a linear model is established to forecast diurnal NEE through variance analysis and multiple linear regression methods.
最后，利用方差分析和多元线性回归方法建立了预报日nee的线性模型。
Linear model is a vital class of statistical model which involves regression model, variance analysis model, covariance analysis model and mixed model etc.
线性模型是一类很重要的统计模型，它包括回归模型、方差分析模型、协方差分析模型以及混合模型等。
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。
A new method was represented to model dynamic linear regression system driven by data, in which a bayesian network was combined with the RBF neural network.
结合贝叶斯网络和神经网络，提出了一种建立数据驱动型的动态线性回归系统模型的方法。
Then, stepwise regression analysis is used to select a best group of factors for the prediction of expressway incident duration, and the multiple linear regression model is established.
在此基础上，通过逐步回归分析确定用于高速公路事件持续时间预测的最佳变量组合并建立多元线性回归模型。
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。
Then, as artificial neural network is better in constructing financial prewarning model than other linear and regression models, a new financial prewarning model based on B-P model was constructed.
然后，利用人工神经网络在建立财务预警模型方面优于其他线性和回归模型的特点，基于B - P模型构建了一个新的混合财务预警模型。
For the complexity and uncertainty of load, a fuzzy linear regression model combining fuzzy mathematics with linear regression model is used to forecast the variation sections of load.
针对负荷影响因素的复杂性和不确定性，结合模糊数学和线性回归模型，讨论应用模糊线性回归模型预测负荷的变化区间。
By introducing fuzzy control variable, the paper proposes a fuzzy multiple linear regression model which can get more effective and more understandable fuzzy regression expression.
将模糊集理论引入多元线性回归中，通过模糊控制变量，可以得出更符合实际，也更容易为人所理解的回归模型。
Results Multiple linear regression model was established in which the average per capita hospitalization cost was as a dependent variable.
结果建立了以人均住院成本为因变量的多重线性回归模型。
Amount of data: if you have very little data, you better opt for a simple prediction model like linear regression.
数据量：如果你有很少的数据，你最好选择一个简单的预测模型，如线性回归。
With regression analysis, a mathematics model of both simple linear and multiple linear regressions were established.
利用回归分析法，建立一元线性回归处理的数学模型和多元线性回归处理的数学模型。
A flue temperature soft measurement model based on linear regression and RBF neural network was built to establish temperature feedback control.
基于线性回归和RBF神经网络构建火道软测量模型，为控制建立温度反馈环节。
A multivariate regression equation was deduced with a multivariate linear regression model.
通过多元线性回归模型，得出了多因子复合流变方程。
The theory of linear regression and the theory of moving average are applied to analyse single data in time series, the model of a linear moving self regression forecast are given out.
应用线性回归分析和移动平均理论，对按时间次序排列的单一数据序列，给出了一种线性移动自回归预测模型，并对原始数据受不确定因素影响而产生的随机振荡，给出了合理的控制区间和运行通道。
There is a regression constant in the linear regression model. But it is not significant in some conditions.
利用线性回归建模时，一般都采用有常数项的模型，而不去考虑它对回归的作用是否显著。
A model showing dynamic change of groundwater level for Shenyang area is set up, using the method of multivariate linear regression in random model.
作者应用随机模型中多元线性回归的方法建立了沈阳地区地下水位动态变化模型。
The smoothing and moving method to predict the managers' income in the market is anticipated and analyzed. A linear regression prediction model to study the supply of the manager market is studied.
本文构建了测定职业经理市场供给状况的指标体系，运用指数平滑移动法对市场中职业经理收入进行了预测分析，并利用线性回归预测模型对职业经理市场供给进行了研究；
General regression model is a generalization of linear model.
一般回归模型是通常线性模型的推广。
This paper suggests a new AGARCH linear regression model, and USES nonparametric regression method to estimate the model.
本文提出一个新的非对称广义arch模型，并以非参数回归方法对模型进行估计。
To determine the rank of regression coefficient matrix in a multivariate linear regression model, a model selection procedure is proposed based on the M-estimation.
为了确定多重线性回归模型中回归系数矩阵的秩，本文提出了一个基于M估计的模型选择程序，且在较弱的条件下建立了回归系数矩阵的秩的估计的强相合性。
Based on the analysing of the data, selected relevant factors, made a series of tests and amendments with models, then created forest volume estimation optimal multivariate linear regression model.
在分析数据的基础上，选择了相关遥感因子和定性因子，并通过一系列模型的检验与修正，建立了公顷蓄积量估测的最优多元线性回归模型。
It showed that the simulation results of LVEF, SV and CO were reliable at a low heart rate with linear regression model, but unreliable at a high heart rate.
结果表明，用线性回归模型计算的左室射血分数、每搏量、心输出量在较低心率时模拟数值较为可信，在较高心率时每搏量模拟数值不可靠。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
This article demonstrates that deformation forecast will be performed by a comprehensive method of non linear regression model combined with time series analysis.
本文将讨论综合运用非线性回归模型和时间序列分析的方法进行变形预报。
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