DocumentCode :
2167219
Title :
Researched on the method of gas outburst prediction based on D-S evidence theory
Author :
Wei, Jiaxi ; Chen, Yan
Author_Institution :
Coll. of Comput. & Inf. Eng., Beijing Technol. & Bus. Univ., Beijing, China
fYear :
2011
fDate :
9-11 Sept. 2011
Firstpage :
2259
Lastpage :
2263
Abstract :
In this paper, a method of gas outburst prediction based on D-S evidence theory was presented. The hierarchical analysis method was used to order the weight of the indicators of gas outburst at first, then using the neural network and traditional forecasting methods to predict respectively, finally, these prediction results were fused by D-S evidence theory, and the final result will be obtained. In this paper, the data of gas outburst were validated the prediction model. The results showed that the prediction method proposed in this paper could make different methods compensate, so it can effectively avoid making wrong judgments by using a single prediction method. It also made the prediction result more reliable and accurate.
Keywords :
forecasting theory; industrial accidents; inference mechanisms; mining industry; neural nets; uncertainty handling; D-S evidence theory; forecasting method; gas outburst prediction method; hierarchical analysis method; neural network; Educational institutions; Forecasting; Indexes; Predictive models; Radiation effects; Training; Vectors; D-S evidence theory; gas outburst; hierarchical analysis method; neural network; predict;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronics, Communications and Control (ICECC), 2011 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4577-0320-1
Type :
conf
DOI :
10.1109/ICECC.2011.6066275
Filename :
6066275
Link To Document :
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