DocumentCode
3354315
Title
Prediction and research of coal and gas outburst based on radial basis function neural networks
Author
Hong-Feng, Ma ; Jian-Wu, Dang ; Xin, Wang
Author_Institution
Dept. of Electron. & Inf. Eng., LAN Zhou Jioatong Univ., Lan Zhou, China
fYear
2010
fDate
26-28 June 2010
Firstpage
3916
Lastpage
3919
Abstract
It is of great theoretical and practical significance of the coal and gas outburst prediction. Through the study of the original samples and the example analysis of the Predictable samples, coal and gas outburst prediction based on artificial neural network model is studied. According to the characteristics of coal and gas outburst and coal and gas outburst data indicators, a coal and gas outburst prediction of the radial basis function neural network model is established. Experiments show that the use of radial basis function neural network model can overcome the shortcomings of instability and inaccurate in the coal and gas outburst prediction, so it has more extensive application value.
Keywords
coal; natural gas technology; radial basis function networks; artificial neural network; coal outburst prediction; gas outburst prediction; outburst data indicators; predictable samples; radial basis function neural networks; Artificial neural networks; Educational institutions; Electronic mail; Information science; Local area networks; Neural networks; Predictive models; Radial basis function networks; RBF neural network; coal and gas outburst; prediction;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechanic Automation and Control Engineering (MACE), 2010 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-7737-1
Type
conf
DOI
10.1109/MACE.2010.5535948
Filename
5535948
Link To Document