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1)  general regression analysis model
通用回归分析模型
1.
The general regression analysis model used in this study can solve the limitation of common regression analysis model,and can also improve the precision and calculation speed.
现有的生态足迹动态拟合和预测多采用普通回归分析模型,本文建立的生态足迹动态测度通用回归分析模型克服了普通回归分析模型的局限性,并能提高计算精度和速度。
2)  regression analysis model
回归分析模型
1.
In consideration of a specific engineering project, a regression analysis model is established for seepage pressure.
针对具体工程情况,建立了渗压的回归分析模型,用改进遗传算法进一步对模型的各项系数进行了全局寻优。
2.
Considering the characteristics of Chinese commercial residential market,and taking Nanjing as an example for empirical study,the main influencing factors of housing price are analyzed by using the framework of the Regression Analysis Model.
结合我国商品住宅市场的特点,应用回归分析模型,对南京市普通商品住宅市场进行实证研究,揭示影响其价格的关键因素,并将模型应用于目标项目的价格估计,验证模型的合理性及有效性。
3)  analysis of regression model
回归模型分析
4)  the logistic regression analysis
Logistic回归分析模型
5)  Fuzzy regression analysis model
模糊回归分析模型
6)  statistical regression analysis model
统计回归分析模型
1.
Based on some measured data of gravity dam of Shiban Hydropower Station, taking into account the influence of water, temperature and time on the seepage and seepage-pressure of dam foundation, a statistical regression analysis model for seepage and seepage-pressure has been established by the stepwise regression analysis method.
通过对石板水电站重力坝坝基渗流、渗压多年观测数据的统计分析,考虑水位、温度和时效的影响,采用逐步回归分析法建立了坝基渗流、渗压的统计回归分析模型。
2.
Taking into account the influential factors including time,temperature and rainfall,a deformation statistical regression analysis model for slope is established.
考虑时效、温度和降雨等对边坡变形的影响,并将其作为边坡变形的影响因子,建立边坡变形统计回归分析模型,应用Microsoft Visual C++网络编程技术和逐步回归分析算法在自行开发的岩土边坡监测信息管理与监测数据分析网络系统中实现可视化的边坡变形回归与预测。
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