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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Bibliographic Details
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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