Direct prediction of steam cracking products from naphtha bulk properties: Application of the two sub-networks ANN

Direct prediction of steam cracking products from naphtha bulk properties: Application of the two sub-networks ANN

Steam cracking of naphtha is an important process for the production of olefins. Applying artificial intelligence helps achieve high-frequency real-time optimization strategy and process control. This work employs an artificial neural network (ANN) model with two sub-networks to simulate the naphtha...

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Bibliographic Details
Main Authors: Yu Ren, Zuwei Liao, Yao Yang, Jingyuan Sun, Binbo Jiang, Jingdai Wang, Yongrong Yang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-09-01
Series:Frontiers in Chemical Engineering
Subjects:
naphtha
steam cracking
artificial neural network
modeling
product prediction
Online Access:https://www.frontiersin.org/articles/10.3389/fceng.2022.983035/full

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