Input Selection Methods for Soft Sensor Design: A Survey

Input Selection Methods for Soft Sensor Design: A Survey

Soft Sensors (SSs) are inferential models used in many industrial fields. They allow for real-time estimation of hard-to-measure variables as a function of available data obtained from online sensors. SSs are generally built using industries historical databases through data-driven approaches. A cri...

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Bibliographic Details
Main Authors: Francesco Curreri, Giacomo Fiumara, Maria Gabriella Xibilia
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Future Internet
Subjects:
soft sensor
inferential model
input selection
feature selection
regression
prediction
Online Access:https://www.mdpi.com/1999-5903/12/6/97

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https://www.mdpi.com/1999-5903/12/6/97

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