High and low frequency unfolded partial least squares regression based on empirical mode decomposition for quantitative analysis of fuel oil samples
详细信息 查看全文
- 作者：Xihui Biana ; b ; bianxihui@163.com" class="auth_mail" title="E-mail the corresponding author ; Shujuan Lib ; Ligang Lina ; Xiaoyao Tana ; Qingjie Fanc ; Ming Lib
- 关键词：Empirical mode decomposition ; Unfolded strategy ; Partial least squares regression ; Ensemble modeling ; Complex sample analysis
- 刊名：Analytica Chimica Acta
- 出版年：2016
- 出版时间：21 June 2016
- 年：2016
- 卷：925
- 期：Complete
- 页码：16-22
- 全文大小：1724 K
文摘
- •
A novel regression model integrating advantages of EMD, unfolded strategy and PLSR is proposed for the quantitative analysis of fuel oils.
- •
EMD and unfolded strategy are introduced for generation and integration of the member models, respectively..
- •
PLSR model is built between the extended dataset and the target values.
© 2004-2018 中国地质图书馆版权所有 京ICP备05064691号 京公网安备11010802017129号 地址：北京市海淀区学院路29号 邮编：100083 电话：办公室：(+86 10)66554848；文献借阅、咨询服务、科技查新：66554700 |