Maximum correntropy criterion based regression for multivariate calibration
文献类型：期刊论文
| 作者 | Hu, Yong; Xie, Qiwei; Rao, KaiFeng; Peng, Jiangtao; Guo, Lu |
| 刊名 | CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
 |
| 出版日期 | 2017-02-15 |
| 卷号 | 161期号:0页码:27-33 |
| 关键词 | Maximum Correntropy Criterion Least-squares Multivariate Calibration Regularization |
| 英文摘要 | The least-squares criterion is widely used in the multivariate calibration models. Rather than using the conventional linear least-squares metric, we employ a nonlinear correntropy-based metric to describe the spectra-concentrate relations and propose a maximum correntropy criterion based regression (MCCR) model. To solve the correntropy-based model, a half-quadratic optimization technique is developed to convert a non convex and nonlinear optimization problem into an iteratively re-weighted least-squares problem. Finally, MCCR can provide an accurate estimation of the regression relation by alternatively updating an auxiliary vector represented as a nonlinear Gaussian function of fitted residuals and a weight computed by a regularized weighted least-squares model. The proposed method is Compared to some modified PLS algorithms and robust regression methods on four real near-infrared (NIR) spectra data sets. Experimental results demonstrate the efficacy and effectiveness of the proposed method. |
| 源URL | [http://ir.rcees.ac.cn/handle/311016/39522]  |
| 专题 | 生态环境研究中心_环境水质学国家重点实验室 |
| 推荐引用方式 GB/T 7714 | Hu, Yong,Xie, Qiwei,Rao, KaiFeng,et al. Maximum correntropy criterion based regression for multivariate calibration[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2017,161(0):27-33. |
| APA | Hu, Yong,Xie, Qiwei,Rao, KaiFeng,Peng, Jiangtao,&Guo, Lu.(2017).Maximum correntropy criterion based regression for multivariate calibration.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,161(0),27-33. |
| MLA | Hu, Yong,et al."Maximum correntropy criterion based regression for multivariate calibration".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 161.0(2017):27-33. |
入库方式： OAI收割
来源：生态环境研究中心
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。