A Method of Mixed Gas Infrared Spectrum Analysis Based on SVM Data Fusion Model

摘要：

In order to solve the problem of non-linear in mixed gas infrared spectra analysis, the data fusion method based on support vector machine is used. Data fusion is a new information processing method, and it may use superfluous and complementary information to improve the performance of output, and the data fusion model is established. The non-linear processing function of support vector machine is used in model. The experimental result shows that, the maximum absolute error is 0.91％, the maximum mean absolute error is 0.39％, and the model has the certain project application value.

关键词： support vector machine data fusion infrared spectra analysis

作者: Bai Peng Ling Aifan Yu Daguang Li Yan

作者单位: Science Institute, Air Force Engineering University, Xian 710051, China City College, Xian Jiaotong University, Xian 710018,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 495-498

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）