Study on Fuzzy Pattern Recognition for Regional Forecast of Coal and Gas Outburst
For reasons of the complex of coal and gas outburst, the uncertainty or fuzziness between outburst-factors and outburst- hazard, makes predicting methods both based on experiences and based on math-models be helpless. Recurring to well-rounded fuzzy theory and technology can realize exact expression and manage between imprecise information and imprecise relation on outburst prediction. Advanced a new method in combining the fuzzy cluster analysis and fuzzy pattern recognition to forecast coal and gas burst. Firstly, the simple integration is classified for the coal and gas outburst by adopting clustering analysis method. The fuzzy model is set up for different outburst degree. Afterwards, the danger degree of the undetermined forecasting sample is predicted by applying fuzzy pattern recognition. With the fuzzy cluster analysis and fuzzy pattern recognition to forecast regionally coal and gas burst which can overcome the indeterminateness and change qualitative forecast to quantitave. The accuracy of forecast is improved. Through actual validation, the reliability of the prediction is tested and verified.
coal and gas outburst regional forecast fuzzy cluster analysis fuzzy pattern recognition
ZHANG Zixu LIU Gaofeng L(U) Runsheng ZHANG Jun
Institute of Resources and Environment, Henan Polytechnic University, Jiaozuo 454003, China
国际会议
The 2007 International Symposium on Safety Science and Technology(2007采矿科学与安全技术国际学术会议)
河南焦作
英文
1428-1433
2007-04-17（万方平台首次上网日期，不代表论文的发表时间）