分析了上海1995—2004年度每年垃圾产生量的数据，由此提出了可应用于城市垃圾预测的多元线性回归预测模型。
Analyzed the Shanghai for 1995 to 2004 year trash to have the quantity data every year, from this proposed might apply to the town refuse forecast many Yuan linear return forecast model.
以广西实际资料具体阐述了线性自回归加权递推模型在大林业中的应用。
By using this material in Guangxi, the application of the linear autoregression model associated with weighting and recursive estimation was introduced for forestry.
然后应用多元线性回归理论建立了关键测温点的温升和热误差的数学模型。
Then it established the mathematical model of temperature and thermal errors using the polynomial linear regression theory.
提出了CUSI神经元模型的一般形式，给出其学习算法。通过实例将CUSI神经元模型应用到地质数据的分析上，取得了比线性回归更好的效果。
The general form of CUSI neuron model and its learning algorithm are given, and apply it to geological data analysis and get the better effect than linear regression.
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。
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.
应用样本选择模型对模拟数据进行分析，并与传统线性回归模型进行比较。
The missing data were analysed with sample selection model and compared with traditional linear regression model.
在因子范围服从对数正态分布下，应用线性回归技术和极大似然法建立了模型参数的测定方法。
Parameters of the model are measured by a linear regression technique and a maximum likelihood method.
根据试验数据，应用多元非线性回归方法建立了密度与摆放位置关系的数学模型，并讨论了改善烧结密度的措施。
Maths model is built up to show the relationship of density with locating place using multiple nonlinear regression analysis of experimental results.
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。
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.
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。
Applying the method of kernel regression, this paper puts forward a type of nonlinear model of stock volumes with prices.
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。
A model showing dynamic change of groundwater level for Shenyang area is set up, using the method of multivariate linear regression in random model.
建立线性自回归模型，应用于洪水实时预报，并应用aic、BIC这两种准则以确定自回归模型的阶数。
A linear ar model is set up to be applied in real-time flood forecasting. Two criterion AIC and BIC are used to decide the exponent number of the linear ar model.
并应用多元线性回归模型预测了2007年到2017年的汽车保有量。
And we forecast the vehicle population from 2007 to 2017 by use of multi-linear regression model.
提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法，并应用于初顶石脑油干点软测量模型建立。
A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.
提出了一种具有强非线性表达能力的自适应偏最小二乘回归(APLSR)方法，并应用于初顶石脑油干点软测量模型建立。
A novel adapting partial least square regression (APLS r) approach was proposed to develop the naphtha dry point soft sensor of the primary distillation tower.
应用推荐