KPLS Optimization With Nature-Inspired Metaheuristic Algorithms
Kernel partial least squares regression (KPLS) is a technique used in several scientific areas because of its high predictive ability. This article proposes a methodology to simultaneously estimate both the parameters of the kernel function and the number of components of the KPLS regression to maxi...
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| Main Authors: | Jorge Daniel Mello-Roman, Adolfo Hernandez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9178802/ |
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