线性回归预测法

基于关联度的混沌序列局域加权线性回归预测法

Local adding-weight linear regression forecasting method of chaotic series based on degree of incidence

对于天然气长期消费预测，采用线性回归预测法和BP神经网络预测法进行预测，通过VB编程计算比较，BP神经网络预测法最好，预测精度范围在1.01%&8.23%。

For long term one , it could be forecasted by the method of multivariate regression and artificial neural network . According to the result programmed by VB language , BP neural network is the best way , with a precision scope from 1.01 % to 8.23 % .

作者提出一种更简便的预测方法&加权一元线性回归预测法。

The author proposed a simpler forecast method - weighting single regression linear return forecast method .

为了解决带有模糊信息的动态预测问题，在已有的线性回归预测法的基础上，提出了模糊线性回归预测的模型。

The dynamic prediction problem with fuzzy information is solved by using the linear regression prediction method .

作者在整个分析的过程中将项目评价的一些理论方法运用于其中，如在对未来市场需求情况进行预测时采用了一元线性回归预测法，并将项目管理的方法应用于投资规划中。

In the process : linear regression forecast method is employed in the forecasting to future market demand ; method of project management is adopted in the investment planning .

接着介绍了应用于铁路客运量预测的三种单一预测方法：多元线性回归分析预测法、时间序列分析预测法以及支持向量机回归分析预测法。

And then introduced three single forecasting methods used in railway passenger volume prediction : multiple regression analysis prediction , time series prediction , support vector machine regression analysis .

运用灰色系统、线性回归方程等预测法，对主要的社会经济指标和县域土地利用规划期内的变化趋势进行预测，将有助于宏观预测宁蒗县规划期内经济发展对土地利用需求量。

By using the grey system , linear regression equation analysis methods , predict the major socio-economic indicators and county land-use trends on planning period . It will help to forecast the demand of macro-economic development during the planning period of land use .