摘要
影响煤与瓦斯突出的因素众多,应用神经网络进行预测时,选取突出预测指标是关键.应用灰色关联分析筛选突出预测指标,结合神经网络建模进行了突出预测,使突出预测指标的选择由定性分析转化为定量分析,实现了灰色理论同神经网络在煤与瓦斯突出预测领域内的结合.
The key to predict coal and gas outburst affected by many factors by neural network is to choose parameters. This study chooses parameters by grey relevancy analysis and uses neural network model to predict. Qualitative analysis is transformed into quantitative analysis in terms of the choice of parameters. The integration of grey theory and neural network in predicting coal and gas outburst has been realized.
出处
《河南工程学院学报(自然科学版)》
2009年第2期1-3,共3页
Journal of Henan University of Engineering:Natural Science Edition
关键词
煤与瓦斯突出
预测
灰色关联分析
神经网络
coal and gas outburst
prediction
grey relevancy analysis
neural network