关键词: BP网络, 因子, 多变量, 动态, 参数, 预测

Abstract: The regular dynamic prediction methods have respectively shown deficiencies because their applied development stages are different.However,BP networks,which may overcome that restriction can not only represent the whole development process,but also include signal variable and multiple variables that may influence the prediction.It can sleforganize all sorts of factors that have an effect on the behavior prediction,further selftrain and self-study to establish the comprehensive accurate model for dynamic prediction.Based on the various improved methods of BP networks,the methods of selforganized and optimized study factor are presented,which can enhance the adaptive capacity of BP networks.A prediction technique of multiple variables is put forward.Finally good effects are gained by applying this technology to numerical simulation of reservoir and oil field development plans as a beginning of the wide applications of neural networks technique to the area of oil field development.

Key words: BP network, factor, multiple-variables, performance, parameters, prediction