Research on Gray BP Automation Modeling in Gas Flow-Volume Prediction

Gas filow-volume controlled by many factors, the trend is complex, the accurate mathematical model to predict, in view of this situation, the paper attempts to grey dynamic model based on artificial neural network, organic combination of intelligent analysis method, structural gray neural network combination forecast model, based on Visual Basic 6.0, meanwhile, corresponding calculation program is developed to solve the gray theory, and the BP neural network computing trival. This model can effectively weaken the grey forecast data sequences of the advantages and the volatility of the strong nonlinear neural network adaptive ability, better improve gas flow-volume prediction accuracy.