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。

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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。

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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。

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