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Octane Number Prediction in a Reforming Plant
Como, Italy July 24-July 27
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860805IEEE-INNS-ENNS International Joint Co ...
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E. Chibaro, S. Fichera, G. Muscato, "Octane Number Prediction in a Reforming Plant," Neural Networks, IEEE - INNS - ENNS International Joint Conference on, vol. 4, pp. 4403, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000.
 
 
BibTex
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@article{ 10.1109/IJCNN.2000.860805,
author = {E. Chibaro and S. Fichera and G. Muscato},
title = {Octane Number Prediction in a Reforming Plant},
journal ={Neural Networks, IEEE - INNS - ENNS International Joint Conference on},
volume = {4},
year = {2000},
issn = {1098-7576},
pages = {4403},
doi = {http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860805},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
TI - Octane Number Prediction in a Reforming Plant
SN - 1098-7576
SP
EP
A1 - E. Chibaro,
A1 - S. Fichera,
A1 - G. Muscato,
PY - 2000
VL - 4
JA - Neural Networks, IEEE - INNS - ENNS International Joint Conference on
ER -
 
E. Chibaro, Universit? degli Studi di CATANIA
S. Fichera, Universit? degli Studi di CATANIA
G. Muscato, Universit? degli Studi di CATANIA
In this work a neural network for the prediction of the complex and non-linear behavior of a Catalytic Reforming of a refinery has been developed. In a fuel, refinery reforming is a conversion process to increase octane number (RON) of the desulphurated heavy naphtha in charge. The neural model has been trained and validated on experimental measurements. The results confirmed the suitability of the proposed approach.
Citation:
E. Chibaro, S. Fichera, G. Muscato, "Octane Number Prediction in a Reforming Plant," ijcnn, vol. 4, pp.4403, IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4, 2000
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