Development of THC estimation model using FTIR spectrum

Development of THC estimation model using FTIR spectrum

A novel total hydrocarbon (THC) emission concentration estimation model is proposed for reduction of engine development cost as well as simplification of measurement system. The model is based on machine learning algorithm including the least absolute shrinkage and selection operator (LASSO) regress...

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Bibliographic Details
Main Authors: Hirotaka YABUSHITA, Makoto NAGAOKA, Masaya YOSHIOKA, Yuichi MORI
Format: Article
Language:Japanese
Published: The Japan Society of Mechanical Engineers 2021-02-01
Series:Nihon Kikai Gakkai ronbunshu
Subjects:
thc
ftir
estimation model
machine learning
lasso
bagging
Online Access:https://www.jstage.jst.go.jp/article/transjsme/87/895/87_20-00358/_pdf/-char/en

Internet

https://www.jstage.jst.go.jp/article/transjsme/87/895/87_20-00358/_pdf/-char/en

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