A prediction model of mine gas emission base on a new ant colony algorithm

摘要：

　　In this paper a prediction model of mine gas emission base on continuous ant colony algorithm was presented aimed at the difficulty in prediction of mine gas emission.By comparing the measured data with the data calculated by the prediction model, indicated the model was accurate and credible.

关键词： Ant Colony Algorithm Principal Components Analysis RBF neural network prediction of mine gas emission

作者: Xiaoqiang Qin

作者单位: National Key Laboratory of Gas Disaster Detecting, Preventing and Emergency Controlling,Chongqing 400037, China;Chongqing Research Institute, China Coal Research Institute, Chongqing 400037, China

会议类型: 国际会议

会议名称: 2013 International Conference on Machinery,Materials Science and Energy Engineering(2013机械、材料科学与能源工程国际会议)(ICMMSEE2013)

会议地点: 湖北荆州

会议语种:英文

页码: 379-384

在线出版日期: 2013-05-18（万方平台首次上网日期，不代表论文的发表时间）