首页> 外文会议>2007采矿科学与安全技术国际学术会议 >Research Into The Way of Forecasting Coal and Gas Outburst Applying Artificial Neural Network Numerical Analysis Combined with The Fault Tree Methods
【24h】

Research Into The Way of Forecasting Coal and Gas Outburst Applying Artificial Neural Network Numerical Analysis Combined with The Fault Tree Methods

机译:人工神经网络数值分析与故障树相结合的煤与瓦斯突出预测方法研究

获取原文

摘要

Based on the gas and geology theories,by creating a general fault tree model of coal and gas outburst,and by applying its quantitive computing method,the dominant factors are discovered ,which always lead to the happening of outburst and can be used to partition the coalfield into different gas-geology section;Following that, a non-linear numerical model for forecasting coal and gas outburst is built combined with artificial neural network numerical analysis methods,and some perfect computing conclusions have been acquired by the processes.On the other hand,some valuable attempts to research into gas-geology and to forecast coal and gas outburst by quantitive numerical methods are introduced in the paper.
机译:根据瓦斯和地质理论,通过建立一般的煤与瓦斯突出断层树模型,并运用其定量计算方法,发现了导致瓦斯突出的主要因素,可用于划分煤与瓦斯突出部位。煤田划分为不同的天然气地质段;其次,结合人工神经网络数值分析方法建立了预测煤与瓦斯突出的非线性数值模型,并通过过程获得了一些完美的计算结论。本文介绍了一些有价值的尝试,通过定量数值方法进行天然气地质研究和预测煤与瓦斯突出。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号