Prediction and research of coal and gas outburst based on radial basis function neural networks

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 charact...

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Bibliographic Details
Main Authors: Ma Hong-Feng, Dang Jian-Wu, Wang Xin
Format: Conference Proceeding
Language:chi ; eng
Subjects:
Artificial neural networks
coal and gas outburst
Educational institutions
Electronic mail
Information science
Local area networks
Neural networks
prediction
Predictive models
Radial basis function networks
RBF neural network
Online Access:Request full text
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Summary: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.
DOI:10.1109/MACE.2010.5535948