Ensemble locally weighted partial least squares as a just‐in‐time modeling method-Reference-Cited by-同舟云学术

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Ensemble locally weighted partial least squares as a just‐in‐time modeling method

Published:2015-11-06 Issue:3 Volume:62 Page:717-725
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Kaneko Hiromasa¹,Funatsu Kimito¹

Affiliation:

1. Dept. of Chemical System EngineeringUniversity of TokyoHongo 7‐3‐1Bunkyo‐ku Tokyo113‐8656 Japan

Funder

Japan Society for the Promotion of Science

Japan Science and Technology Agency

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.15090

Reference46 articles.

1. Data-based process monitoring, process control, and quality improvement: Recent developments and applications in steel industry

2. Data-driven Soft Sensors in the process industry

3. Review of adaptation mechanisms for data-driven soft sensors

4. Classification of the degradation of soft sensor models and discussion on adaptive models;Kaneko H;AIChE J.,2013

5. Recursive PLS algorithms for adaptive data modeling

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