传感技术学报2016，Vol.29Issue(5)：733-738,6.DOI:10.3969/j.issn.1004-1699.2016.05.019
煤与瓦斯突出预测的NN-SVM模型
Prediction Model for Coal and Gas Outburst Based on NN-SVM
摘要
Abstract
In order to improve the accuracy and efficiency of coal and gas outburst prediction,NRS theory is used to do the feature vector dimension reduction and extract the main sudden factors which affect coal and gas outburst , and then,the relationship between coal and gas outburst risk and the feature vectors which consist of the factors that affect coal and gas outburst is analyzed by the NN-SVM theory. So,the coal and gas outburst prediction model is es-tablished based on the NRS theory and NN-SVM. The experiment results show that:NRS theory can do well in the knowledge reduction about the original characteristics. The model has a high prediction accuracy and the generaliza-tion ability is well.关键词
煤与瓦斯突出/预测模型/邻域粗糙集理论/改进的支持向量机Key words
coal and gas outburst/prediction model/neighborhood rough sets(NRS)theory/improved support vec-tor machine(NN-SVM)分类
信息技术与安全科学引用本文复制引用
谢国民,谢鸿,付华,闫孝姮..煤与瓦斯突出预测的NN-SVM模型[J].传感技术学报,2016,29(5):733-738,6.基金项目
国家自然科学基金项目(51274118) （51274118）
辽宁省教育厅基金项目(UPRP20140464) （UPRP20140464）
