Taking oil price and influencing factors as an integral subject,
this paper studies the systematic structure and dynamic features of oil
prices and carries out a systematic simulation about oil price (system
output) and influencing factors (system input) based on functional
simulation (differential simulation and BP Neural Network).A corresponding
simulation model is established and system simulation algorithm is devised
and as a result,“oil price simulation software” is developed,which is
tested in oil price prediction with success.The resulting data prove to be
more precise than those from other predicting method.This study offers a
tool for oil price prediction and lay a foundation for studies on oil price
control.