Task Transfer Learning for Prediction of Transient Nitrogen Oxides, Soot, and Total Hydrocarbon Emissions of a Diesel Engine

Task Transfer Learning for Prediction of Transient Nitrogen Oxides, Soot, and Total Hydrocarbon Emissions of a Diesel Engine

According to previous studies on internal combustion engine applications using deep learning, deep learning model should be individually optimized and trained to predict different phenomena. This study introduces task transfer learning to predict transient nitrogen oxides (NO<inline-formula> &...

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Bibliographic Details
Main Authors: Seunghyup Shin, Minjae Kim, Jihwan Park, Sangyul Lee, Kyoungdoug Min
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Deep learning
diesel engines
task transfer learning
transient emissions
Online Access:https://ieeexplore.ieee.org/document/10182259/

Internet

https://ieeexplore.ieee.org/document/10182259/

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