介绍了煤与瓦斯突出预测专家系统实现的关键技术。
The key techniques to implement expert system for coal and gas outbursts prediction are introduced.
煤与瓦斯突出预测预报是一个十分复杂而棘手的问题。
The prediction and forecasting of coal and gas outburst is a complicated and knotty problem.
非接触连续动态空间预测是未来煤与瓦斯突出预测理论的发展趋势。
The developing trend of coal and gas outburst forecasting theory is non-contact continuously dynamic space forecast.
煤与瓦斯突出预测是一项复杂有难度的技术，受到很多因素的影响。
Prediction of coal and gas outburst is an intricate task affected by many factors.
评述了我国煤与瓦斯突出预测技术现状及发展趋势，指出动态连续预测技术是有前途的。
The paper firstly stated the present status and development tendency of coal and gas outburst prediction technology in China.
为了正确预测煤与瓦斯突出的危险性，提出了一种基于贝叶斯网络的煤与瓦斯突出预测方法。
In order to accurately predict the risk of coal and gas outburst, a coal and gas outburst prediction model based on Bayesian network has been put forward in the paper.
运用模糊数学中的模糊聚类分析方法对平顶山矿业集团某矿区煤与瓦斯突出预测进行了尝试，经实践验证是可行的。
The authors have tried to apply fuzzy cluster analysis in fuzzy mathematics to predicting coal and gas outbursts in Pingdingshan mining area, which has been proved practical.
为了对煤与瓦斯突出事故进行有效的预防与控制，笔者应用灰色系统理论中的灰色聚类评估方法，对矿井的煤与瓦斯突出进行了预测。
Grey cluster assessment of the grey system theory is used to predict the outburst of coal and gas in mine so as to have effective prevention and control on this kind of accident.
煤与瓦斯突出是一个复杂的过程，做好预测预报工作显得尤为重要。
The burst of coal and methane is a complex procedure, therefore, the correct predicting of that is very important.
研究了瓦斯对电磁辐射(eme)的影响规律及影响机制，对电磁辐射法预测煤与瓦斯突出原理进行了探讨。
The effect rule and mechanism of gas on electromagnetic emission (EME) and the principle of predicting coal and gas outburst with EME were investigated.
实例表明，集对分析方法能够较好地预测煤与瓦斯突出的可能性，是预测灰色系统的一种方便、合理的方法。
By a practical example, the set-pair method is good for forecasting coal-gas emerging, and it is a convenient and reasonable method of analyzing gray system.
煤岩电磁辐射监测技术可以预测、预报矿井冲击地压和煤与瓦斯突出等煤岩动力灾害。
The electromagnetic radiation (EMR) technology can forecast coal or rock dynamic disaster, such as coal and gas outburst, rock burst etc.
结果表明，该模型收敛速度快，准确性高，具有较强的可靠性和实用性，是一种十分有效的煤与瓦斯突出危险性预测方法。
The results indicate that the model is reliable and precise and has large practical value, which is a practical method to predict coal & gas outburst.
煤层瓦斯压力是决定煤层瓦斯含量的一个主要因素，也是煤与瓦斯突出危险性预测的一个重要参数。
The gas pressure is a main factor of deciding gas content in coal seam. It is an important parameter of the dangerous prediction for coal and gas outburst too.
文中通过地质动力区划方法确定区域地质构造背景，采用多因素模式识别概率预测方法完成煤与瓦斯突出危险性的区域预测。
In this paper, geo-dynamic zoning method was used to research regional geology structure, multi-factor pattern recognition method was applied to predict regional coal and gas outburst danger.
用钻屑量指标预测煤与瓦斯突出时，由于采样装置落后和操作不规范等原因，导致预测结果可靠性降低。
As result of backward equipment and wrong operation, the forecast results become unreliable when the index of drilling yields is used in forecasting coal or rock outburst.
煤与瓦斯突出前有征兆显现——煤体声发射，然而实际采样到的煤体声发射信号往往含有许多噪声，严重影响了预测可靠性。
There is a sign before coal and gas outburst-acoustic emission, but a lot of noise included in acoustic emission affects reliability of prediction severely.
并对淮南矿区的潘一矿和谢一矿煤与瓦斯突出进行了模拟与预测，对煤与瓦斯气固耦合作用作了进一步分析。
And carried on the simulation and forecast of the coal and the gas in Panyi mine and Xieyi mine of Huainan area, and has further analyzed the coal and gas coupling function.
应用神经网络中的BP网络模型对金竹山矿区煤与瓦斯突出进行了预测。
The prediction of coal and gas outburst in Jinzhushan Mine was conducted with the use of BP network model in neural network.
从煤与瓦斯突出的机理出发，构建了多层BP神经网络预测模型，将煤与瓦斯突出的综合影响因素作为特征向量。
Based on the mechanism of coal and gas outburst, we construct the prediction model of BP neuro-network and make the composite factor of the coal and gas outburst as the feature vector.
本文分析了阳泉矿区煤与瓦斯突出地质因素，总结了突出的预测方法及效果。
This paper analyzed factors affecting coal and gas outbursts in Yangquan mining area. It also reviewed coal and gas outbursts prediction methods and their results.
该算法提高了网络性能，在煤与瓦斯突出强度预测中取得良好效果。
It is concluded that GA-BP compound algorithm has improved the performance of ANN and good results nave bee obtained in coal and gas outburst intensity forecast.
微地震监测技术对确定采场覆岩“两带”高度、预报采场顶板破坏、预测煤与瓦斯突出，从而预防灾害发生、保证煤矿安全生产并提高资源回采率等具有重要意义。
Microseismic monitoring technique is of important meaning for the safety of coal mine, the prediction of the period of mining pressure and the increase of recovery rate.
实例分析表明，模型精度很高，可用于工作面煤与瓦斯突出危险性的预测。
The example demonstrates that the model can predict coal and gas outbursts with high precision.
然后，利用神经网络对煤与瓦斯突出作了预测。
At last coal and gas outburst is predicted by using neural network.
对国内外建立的煤与瓦斯突出机理假说进行了研究，对基于煤与瓦斯突出机理的突出区域危险性预测研究进展进行了分析。
The paper studies the hypothesis about coal and gas protruding mechanism, and analyses the development of forecast research of dangerous area of coal and gas protruding mechanism.
地质构造预测是防治煤与瓦斯突出的重点工作。
The geological structure forecasting is important work in prevention and cure of coal and gas outburst.
因此研究煤与瓦斯突出区域分类预测模型具有重大现实意义。
So search on coal and gas outburst prediction model for classification of great practical significance.
利用该技术获取了研究区的构造软煤资料，对研究区的煤与瓦斯突出危险性区域进行了预测。
As well as the related information of deformed soft coal in study area was got by this technology; dangerous districts of coal and gas outburst were forecasted in study area.
利用该技术获取了研究区的构造软煤资料，对研究区的煤与瓦斯突出危险性区域进行了预测。
As well as the related information of deformed soft coal in study area was got by this technology; dangerous districts of coal and gas outburst were forecasted in study area.
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