介绍了数字分析在矿井瓦斯涌出量预测中的应用。
This paper describes the application of numerical analysis in gas emission prediction in virgin zone of a mine.
灰色预测模型为矿井瓦斯涌出量时间动态数列的预测提供了一条新的途径。
The grey prediction model provides a new way for predicting the time dynamic numerical array of mine gas emission rate.
煤层瓦斯含量是矿井瓦斯防治的一个基础参数，它对矿井瓦斯涌出量的大小起着重要作用。
Coal seams gas content is basic parameter of gas prevention in coal mine, it make a great action of gas discharging quantity.
论述了分源预测法原理，并通过实例计算介绍了该方法在新建矿井瓦斯涌出量预测中的应用。
This paper discusses the principles of forecast from different sources, and introduces the application in the new mine gas emission forecast through examples of calculation.
通过对矿井瓦斯涌出量时间序列的模糊分形处理，用BP神经网络对影响因素间的非线性关系进行拟合。
After the time series fuzzy fractal processing of the mine gas emission quantity, the non linear relations of the influence factors were combined with BP neural network.
将模糊控制技术、分形理论中的时间序列分析方法与神经网络技术有机地结合起来，并运用于矿井瓦斯涌出量的预测中。
The paper is to organically combine the time series analysis method and neural network technology in the fuzzy control technology and fractal theory to predict mine gas emission quantity.
利用灰色灾变预测理论，对某矿矿井工作面瓦斯涌出资料进行分析、研究，建立煤矿瓦斯涌出量灰色预测模型，并对矿井瓦斯涌出量变化趋势进行预测。
This method is more accurate than by traditional mine statistic method. Adoption of gray prediction theory, mine gas emission data was analyzed, gray prediction model of gas emiss…
通过建立灰色线性回归组合模型，较好地预测了北辰矿井田深部的瓦斯涌出量。
It can get a better precision of gas gushing in deeper coal according to building grey linearity model in Beichen coal Mine.
正确预测瓦斯涌出量，对于指导矿井设计和安全生产有重要意义。
Precisely predicting the amount of gas emitted from the coal face is of great importance in the design of mine and production safety.
正确预测瓦斯涌出量，对于指导矿井设计和煤矿安全生产有重要的现实意义。
Accurate prediction of gas emission is of great practical significance in guiding mine design and ensuring work safety in coal mines.
而在许多矿井的生产实践中，掘进工作面瓦斯涌出量却显示出与直接源涌出量不一致的特性，常常出现瓦斯涌出异常现象。
However in the productive practice of mining, the gas gush quantity in dig working face is different with the gas fountain, it often shows abnormity.
检验成果表明用该方法对煤层瓦斯涌出量进行预测是可行的，可为矿井瓦斯灾害预测提供参考依据。
The checked results make clear the gas emission predicting method is feasible and can provide reference frame for gas disaster prediction.
检验成果表明用该方法对煤层瓦斯涌出量进行预测是可行的，可为矿井瓦斯灾害预测提供参考依据。
The checked results make clear the gas emission predicting method is feasible and can provide reference frame for gas disaster prediction.
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