Recognition of Infrared Spectrum Data of Coal Mine Gas Based on Multiple Hyperplanes Classifier Method

摘要：

In light of the limitation of traditional linear searching way,which uses one hyperplane to classify in spectral recognition of coal mine gas,multiple hyperplanes of dendriform classifier method are introduced to classify in this paper,which has the good classifying effect on gas in complicated background environment. This article has introduced the principle of dendriform partition linear classifier,and used the dendriform classifier to do algorithm training and identificating classification. Applying to classify and identify complicated samples of remote sensing infrared spectrum datas of coal mine gas,the experimental results indicated that,in the same numbers of training sample,this method not only has less training iteration than linear classification,but also the weights calculated by it have better examination results than linear classification for the whole examination datas.

关键词： coal mine gas pattern recognitions dendriform classifier spectrum data hyperplane

作者: Mengran Zhou Cangrong Zhao Yuliang Liu

作者单位: School of Electrical & Information Engineering,Anhui University of Science and Technology,Huainan 232001,Anhui,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3003-3007

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）