Comparison between Artificial Neural Network and Rigorous Mathematical Model in Simulation of Industrial Heavy Naphtha Reforming Process

Comparison between Artificial Neural Network and Rigorous Mathematical Model in Simulation of Industrial Heavy Naphtha Reforming Process

In this study, an artificial neural network (ANN) model was developed and compared with a rigorous mathematical model (RMM) to estimate the performance of an industrial heavy naphtha reforming process. The ANN model, represented by a multilayer feed forward neural network (MFFNN), had (36-10-10-10-3...

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Bibliographic Details
Main Authors: Ali Al-Shathr, Zaidoon M. Shakor, Hasan Sh. Majdi, Adnan A. AbdulRazak, Talib M. Albayati
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Catalysts
Subjects:
heavy naphtha
reforming
mathematical model
artificial neural network
deactivation
catalyst
Online Access:https://www.mdpi.com/2073-4344/11/9/1034

Internet

https://www.mdpi.com/2073-4344/11/9/1034

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