The Application of Chemometric Methods in Near Infrared Spectroscopy Analysis
The near infrared spectroscopy analysis method is applied to measure the octane number of gasohol, which is used widely by automobile in China. Based on principal components regression(PCR), the prediction model is created. In order to save time in creating model and avoid unuseful data being used in model, the correlation coefficient between principal components and samples property is used. In order to improve the predicting precision, the software use one global model and some local models during predicting new sample. The samples in local model are dynamic and selected from the global model according to the set principle of dynamic local model creating method.
Near infrared principal components regression local models
Xixiong ZHAN Jun LIN Zhihong WANG Zhiyu WU
Jilin University, China
国际会议
2nd IEEE Conference on Industrial Electronics and Applications(ICIEA 2007)(第二届IEEE工业电子与应用国际会议)
哈尔滨
英文
2007-05-23(万方平台首次上网日期,不代表论文的发表时间)