Research on Subjective and Objective Evidence Fusion Method in Oil Reserve Forecast

A new fusion model was proposed,that the model integrated BP neural networks combination with DS evidence reasoning to solve the problems about traditional signal model’ complicated degree of arithmetic which was high and exact in probability and low in oil reserve forecast.The method not only realizes feature level fusion of all subjective and objective evidence on different levels in all fields,but also realizes the predominance compensation of different models.Through experiment analyzed,the method can improve classified precision 6.9% and reduce time complication degree.