Gas Gushing Forecasting Based on Grey RBF Model

摘要：

Considering the precision of neural network modeling is often subject to random effects of data, accumulated generating operation in grey theory is introduced to weaken the randomness of data. Meanwhile, RBF neural network is better than BP neural network on mine gas gushing forecasting, so grey theory and RBF neural network are combined together in the paper and a kind of mine gas gushing forecasting model is put forward in this paper. With the actual data of the coal mine, the grey RBF neural network is trained and the simulation results show that the grey RBF model, which improves the accuracy of the gas prediction, can provide higher accuracy than RBF neural network model.

关键词： Grey theory RBF Neural Network Gas Gushing Forecasting

作者: Bai Yu Peng Xinguang

作者单位: College of Computer Science and Technology Taiyuan University of Technology Taiyuan 030024 China

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 640-644

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）