Using the information of rice phenology observed in Kai- yuan City and with the method of multipleregression, a long term forecasting model for rice yield was established.
The multiple linear regression model for forecasting the electricity demand and factors affecting it was established consequently and was optimized by regression tests.
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.