Title :
The Application Research of Predicting Amount of Gas Gushing Based on Gray Theory and Artificial Neural Network
Author :
Wu, Youxin ; Qiu, Jiguang ; Li, Xiangjun ; Wan, Lihui ; Tong, Xing
Author_Institution :
Dept. of Comput., Nanchang Univ., Nanchang, China
Abstract :
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.
Keywords :
backpropagation; coal; grey systems; mining industry; neural nets; BP artificial neural network; coal production; gas gushing predicting; gray theory; mine gas; Artificial neural networks; Biological neural networks; Biological system modeling; Computer networks; Economic indicators; Neural networks; Neurons; Optimization methods; Predictive models; Ventilation; grey theory; prediction; the Amount of Gas Gushing; the BP Neural Network;
Conference_Titel :
Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-0-7695-3605-7
DOI :
10.1109/CSO.2009.421
