Embedding-Graph-Neural-Network for Transient NOx Emissions Prediction

Embedding-Graph-Neural-Network for Transient NOx Emissions Prediction

Recently, Acritical Intelligent (AI) methodologies such as Long and Short-term Memory (LSTM) have been widely considered promising tools for engine performance calibration, especially for engine emission performance prediction and optimization, and Transformer is also gradually applied to sequence p...

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Bibliographic Details
Main Authors: Yun Chen, Chengwei Liang, Dengcheng Liu, Qingren Niu, Xinke Miao, Guangyu Dong, Liguang Li, Shanbin Liao, Xiaoci Ni, Xiaobo Huang
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Energies
Subjects:
LSTM
transformer
sparse graph attention
EGNN
Online Access:https://www.mdpi.com/1996-1073/16/1/3

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