摘要
煤与瓦斯突出是受诸多因素影响的复杂问题,且影响因素相互关联,为了提高其预测的准确性,文中提出了一种基于粗糙集与神经网络的煤与瓦斯突出预测方法。通过煤与瓦斯突出预测实证分析,并与一般预测方法进行对比,进一步验证了文中预测方法的正确性和可行性。
The coal and ga s outburst is a complex problem affected by many factors, and the influential factors are related to each other. In order to improve the prediction accuracy, a prediction method of coal and gas outburst based on rough set and neural network is proposed. An empirical analysis of the coal and gas outburst prediction was conducted. Compared with general prediction methods, the correctness and feasibility of the prediction method proposed are verified.
出处
《安徽电子信息职业技术学院学报》
2016年第1期11-14,共4页
Journal of Anhui Vocational College of Electronics & Information Technology
关键词
粗糙集
属性约简
神经网络
规则集
非线性
rough set
attribute reduction
neural network
a set of rules
nonlinear