煤与瓦斯突出

煤与瓦斯突出灾害的预测枛&基于遗传和BP算法

Prediction of coal and gas outburst disasters based on genetic and BP algorithm

BP神经网络在煤与瓦斯突出预测的研究

Study of BP Neuro-network on the Prediction of the Coal and Gas Outburst

煤与瓦斯突出预测综合指标F值的试验研究

Test and research on comprehensive index F value for prediction of coal and gas outburst

基于ASP技术的煤与瓦斯突出危险性预测系统

Dangerous prediction system of coal and gas outburst base on ASP technology

基于贝叶斯正则化BP人工神经网络的煤与瓦斯突出预测的研究

Research of Prediction of Coal and Gas Outburst Based on BP Artificial Neural Network Utilizing Bayesian Regularization

对AE信号参数预测预报煤与瓦斯突出危险性进行了展望。

The paper also looks forward the prospect of the application of AE signal parameter for predicting coal and gas outburst hazard .

对GIS技术、无线电波透视探测技术及以地震波为主的弹性波技术为煤与瓦斯突出预测技术的发展前景作了必要的分析。

Necessary analysis of the future development is also provided for coal and gas outburst prediction by Geographical Information System ( GIS ), radio wave nondestructive detection and elastic wave technique based mainly on seismic waves .

本文用自适应模糊神经网络技术建立煤与瓦斯突出预测系统，以模糊数学作为表达与处理不精确数据、模糊信息条件的手段，以自适应BP神经网络作为解决问题的途径。

The authors set up the forecasting system with fuzzy-neural network theory , by means of fuzzy mathematics to express and deal with the imprecise data and fuzzy information , and utilized self-adaptive neural networks system to solve the problems .

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 .

针对原有Hopfield网学习算法的局限性，利用Hopfield网的非线性逼近能力来模拟煤与瓦斯突出中各指标的复杂非线性关系，通过联想记忆功能对煤与瓦斯突出进行分类。

In order to overcome the weakness of Hopfield learning , using the nonlinear approaching ability of Hopfield , nonlinear relations of indexes in coal and gas outburst are simulated and the species of coal and gas outburst are classified by association - memory .

基于各种原理的监测方法很多，利用声发射（AE）信号参数预测预报煤与瓦斯突出危险性，被许多国家的研究人员公认为是一种最有发展前途的方法。

There are many monitoring methods based different kinds of theory , the utilization of AE signal parameter to predict and forecast coal and gas outburst hazard is a method that is universally accepted by researchers in many countries and has the most developmental prospect .

V1指标不仅可提高煤与瓦斯突出预测准确率，还可在突出机理的研究中起到至关重要的作用，对预防煤与瓦斯突出有着很大的实用价值和理论意义。

Index ( V_ ( 1 )) not only improve accuracy rate of gas outburst prediction , but also exerting the important effect in the research of gas outburst mechanism , in possession of practical value and theory meaning for precluding coal and gas outburst .

应用瓦斯地质单元法预测煤与瓦斯突出

Application of gas geological division in controlling coal and gas outburst

《采区煤与瓦斯突出预测图》编图规则探讨

Discussion about Mapping Rules of Coal & Gas Outburst Prediction Plan

地质指标在煤与瓦斯突出预测中的应用研究

Applications Research of Geological Indexes in Coal and Gas Outburst Prediction

煤与瓦斯突出煤层重烃组分的研究

Study on composition of hydrocarbons in coal seams liable to outbursts

煤与瓦斯突出危险区域划分研究

Study on Danger Zone Compartment of Coal and Gas Outburst

隧洞施工中防治煤与瓦斯突出

Prevention and Control of Outburst of Coal and Gas During Tunnel Construction

煤与瓦斯突出电磁辐射的监测及应用

Monitoring and Application of Electromagnetic Emission Produced by Coal and Gas Outbursts

防治煤与瓦斯突出技术研究与探讨

Research on the technology of preventing coal and gas outburst

煤与瓦斯突出区域预测信息系统开发

Development of coal and gas outburst regional prediction information system

研究了度量煤与瓦斯突出这个复杂系统的相对标度不变量分维数。

The comparatively invariant fractal dimension is measured coal and gas outburst .

煤与瓦斯突出冲击波传播规律的实验研究

Experimental Study on Shock Wave Propagation Law of Coal and Gas Outburst

准确确定煤与瓦斯突出是对矿井安全生产十分有益的事。

It is important to predicting coal and gas outburst .

建新矿煤与瓦斯突出的因素分析

Analysis on factors of coal and gas outbursts in new coal mine

电磁辐射法预测煤与瓦斯突出原理

Principle of Predicting Coal and Gas Outburst Using Electromagnetic Emission

立井掘进过程中的煤与瓦斯突出动力现象研究

Research of Dynamical Phenomena about Coal and Gas Outburst in Shaft Excavation

煤与瓦斯突出声发射的神经网络预测方法

AE neural network forecasting method of coal and gas outburst

响水矿井煤与瓦斯突出的多层次模糊综合评价

Evaluation of Coal and Gas Outburst Multi-level Fuzzy Comprehensive at Xiangshui Mine

基于改进的自适应支持向量机建模的煤与瓦斯突出预测

Forecasting coal and gas outburst based on improved adaptive support vector machine