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.

关键词： grey theory the BP Neural Network the Amount of Gas Gushing prediction

作者: Youxin Wu Jiguang Qiu Xiangjun Li Lihui Wan Xing Tong

作者单位: Department of Computer, Nanchang University, Nanchang, 330031, China

会议类型: 国际会议

会议名称: The Second International Joint Conference on Computational Science and Optimization(CSO 2009)(2009 国际计算科学与优化会议)

会议地点: 三亚

会议语种:英文

页码: 1435-1437

在线出版日期: 2009-04-24（万方平台首次上网日期，不代表论文的发表时间）