Octane Number Prediction in a Reforming Plant

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IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4

Como, Italy

July 24-July 27

ISBN: 0-7695-0619-4

	ASCII Text	x
	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	x
	@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	x
	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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.860805

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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