Estimating the reliability of predictions in locally weighted partial least‐squares modeling

It is important to predict the reliability of the estimation results given by adaptive soft sensors. In this study, a locally weighted partial least‐squares (LWPLS) method, which is a just‐in‐time‐based adaptive soft sensor, is analyzed, and the reliability of LWPLS modeling is predicted as the stan...

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Veröffentlicht in:	Journal of chemometrics 2021-09, Vol.35 (9), p.n/a
1. Verfasser:	Kaneko, Hiromasa
Format:	Artikel
Sprache:	eng
Schlagworte:	error estimation Euclidean geometry Industrial plants just‐in‐time modeling Modelling predictive ability process state Reliability analysis soft sensor Standard deviation Training
Online-Zugang:	Volltext
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