外文翻译-煤与瓦斯突出灰色-神经网络预测模型的建立.doc
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- 外文 翻译 瓦斯 突出 灰色 神经网络 预测 模型 建立
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1、翻译部分英文原文Establishment of grey-neural network forecasting model of coal and gas outburstYang Sheng-qianga, Sun Yana,b, Chen Zu-yuna, Yu Bao-haia, Xu QuanaaState Key Laboratory of Mine Resource and Safe Exploitation, School of Safety Engineering, CUMT, Xuzhou 221008, ChinabDepartment of Public Managem
2、ent, Shanghai Trade Union Polytechnic, Shanghai 201415, ChinaAbstract: Grey correlation analysis was made with respect to factors affecting coal and gas outburst and the input parameters of artificial neural network (ANN) determined. Then five dominant factors were chosen for grey correlation analys
3、is as the input parameters based on the improved BP algorithm, and neural network forecasting model of coal and gas outburst established. The network was trained by using the study samples from the instances of typical coal and gas outburst mines, and coal and gas outburst instances of Yunnan Enhong
4、 mine were used as forecasting samples. The comparison between the results from network forecasting with that of the traditional methods indicates that this method can meet the requirement for coal and gas outburst forecast .Keywords: coal and gas outburst ; grey correlation analysis; grey-neural ne
5、twork1. IntroductionIn china, coal has a wide distribution and the landforms of coal fields are complex. The coal production is threatened by water, fire, coal dust, roof fall, gas outburst, and so on. Of these factors, gas outburst is the most serious dangerous one to cause great economic loss and
6、kill coal miners. So, gas outburst forecasting becomes particularly important 1.Because the inherent mechanism of coal and gas outburst is so complicated and lots of uncertain and fuzzy problems exist between effect factors and accidents, both the traditional forecasting technologies based on experi
7、ence and the statistical forecasting technologies based on mathematical model are restricted in the field application. Grey-neural network forecasting methods of coal and gas outburst is applied in this paper.2. Analysis of effect factors 2.1. Initial velocity of gas ( p )The initial velocity of gas
8、 is one of the risk indexes for coal and gas outburst2-3. It shows the blow-off velocity of gas from coal. This index reflects how quickly the gas releases from coal seams. p is related to the gas content of coal, structure and surface property of pore. To a large degree, the movement and destructiv
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