The Application Research of Predicting Amount of Gas Gushing Based on Gray Theory and Artificial Neural Network

摘要

In this paper, the method of gray theory-BP Neural network was proposed and applied to predict the amount of gas gushing. It has established prediction model and realized the algorithm. And the proposed method has been compared with simple using the GM (1,1) model and simple using the BP neural network model to predict. The example shows that this method is relatively more accurate than simply using GM (1,1) model or simply using the BP neural network model, and this method of predicting the amount of gas gushing is feasible.