Predictive Modeling for an Industrial Naphtha Reforming Plant using Artificial Neural Network with Recurrent Layers
In this research, a layered-recurrent artificial neural network (ANN) using the back-propagation method was developed for simulation of a fixed-bed industrial catalytic reforming unit called Platformer. Ninety-seven data points were gathered from the industrial catalytic naphtha reforming plant duri...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Universitas Indonesia
2014-01-01
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Series: | International Journal of Technology |
Subjects: | |
Online Access: | http://ijtech.eng.ui.ac.id/article/view/1239 |