Using the information of rice phenology observed in Kai- yuan City and with the method of multiple regression, a long term forecasting model for rice yield was established.
本文以辽宁省开原市水稻物候观测实际资料为例，采用多重回归的方法，建立了影响水稻产量的多时效预报模式。
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
建立了用电需求量与主要影响因素之间的多元线性回归预测模型，经过回归检验，确定了优化的多元线性回归预测模型。
Based on these, multiple linear regression, LMBP, MOBP, VLBP and BRBP model are used to forecast oil-gas prospecting cost, and each of their forecasting performances is compared.
在此基础上，采用了多元线性回归模型、LMBP模型、MOBP模型、VLBP模型与BRBP模型对油气勘探成本进行预测，并对各模型的预测性能进行了比对。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
There are many methods for medium- and long-term runoff forecasting, such as time series, multiple linear regression and so on, which often have deviation in forecasting precision.
径流中长期预报一直以来都是人们关注的热点研究问题，常用的时间序列法、多元回归分析法等都存在预报精度偏差过大的问题。
应用推荐