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

Volume

2

fYear

2009

fDate

24-26 April 2009

Firstpage

385

Lastpage

387

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Sciences and Optimization, 2009. CSO 2009. International Joint Conference on

Conference_Location

Sanya, Hainan

Print_ISBN

978-0-7695-3605-7

Type

conf

DOI

10.1109/CSO.2009.421

Filename

5193977