Locally weighted kernel partial least square model for nonlinear processes: A case study

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Locally weighted kernel partial least square model for nonlinear processes: A case study

A soft sensor, namely locally weighted partial least squares (LW-PLS) cannot cope with the nonlinearity of process data. To address this limitation, Kernel functions are integrated into LW-PLS to form locally weighted Kernel partial least squares (LW-KPLS). In this study, the different Kernel functi...

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Bibliographic Details
Main Authors:	Joyce Chen Yen, Ngu, Yeo, Christine
Format:	Journal Article
Published:	2022
Online Access:	http://mypcs.com.my/journal/index.php/ajpc/article/view/6/2 http://hdl.handle.net/20.500.11937/89384

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