Name
Title | ||
|---|---|---|
Multivariate Regression Model for Industrial Process Measurement Based on Double Locally Weighted Partial Least Squares. |
Abstract | ||
|---|---|---|
Multivariate regression models are commonly used in industrial process measurements. Locally weighted partial least squares (LWPLS) is a just-in-time learning (JITL) method for nonlinear multivariate regression models. However, it considers only the sample importance. In this article, a novel JITL multivariate regression model termed double LWPLS (D-LWPLS) is proposed to solve complex nonlinear pr... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TIM.2019.2943824 | IEEE Transactions on Instrumentation and Measurement |
Keywords | DocType | Volume |
Multivariate regression,Weight measurement,Input variables,Analytical models,Eigenvalues and eigenfunctions,Spectral analysis,Adaptation models | Journal | 69 |
Issue | ISSN | Citations |
7 | 0018-9456 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junming Chen | 1 | 7 | 2.94 |
| Chunhua Yang | 2 | 435 | 71.63 |
| Can Zhou | 3 | 7 | 5.68 |
| Yonggang Li | 4 | 0 | 5.07 |
| Hongqiu Zhu | 5 | 0 | 0.34 |
| Weihua Gui | 6 | 577 | 90.82 |