CAJ | 학술논문

为了准确预测煤与瓦斯突出危险,首先利用灰色关联分析的方法寻找出影响煤与瓦斯突出的关键性因素,然后利用MATLAB的SVM工具箱建立煤与瓦斯突出的预测模型,并应用此模型识别瓦斯突出的类型.该模型基于MATLAB的SVM工具箱加以实现.实验结果表明,基于灰色关联分析的S V M煤与瓦斯突出预测模型结果可靠,效果良好,应用性强.
위료준학예측매여와사돌출위험,수선이용회색관련분석적방법심조출영향매여와사돌출적관건성인소,연후이용MATLAB적SVM공구상건립매여와사돌출적예측모형,병응용차모형식별와사돌출적류형.해모형기우MATLAB적SVM공구상가이실현.실험결과표명,기우회색관련분석적S V M매여와사돌출예측모형결과가고,효과량호,응용성강.
@@@@In this paper,the grey correlation analysis method was firstly used to find out the key factors that affect coal and gas outburst in order to accurately predict its danger,and then a prediction model for coal and gas outburst was established by using the SVM toolbox of MATLAB and applied to identify the type of coal and gas outburst. This model was realized based on the SVM toolbox of MATLAB. The experimental results showed that the SVM coal and gas outburst prediction model which was based on the gray correlation analysis has the features of reliable result,good effect and strong applicability.