TY  - DATA
AU  - Pérez,José R.
AU  - López,Roberto
AU  - Dassori,Carlos G.
AU  - Ranson,Aaron
AU  - López,Roberto
AU  - Dassori,Carlos G.
AU  - Ranson,Aaron
ED  - Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
ED  - Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
TI  - ARTIFICIAL NEURAL NETWORKS APPLIED TO THE OPERATION OF A FLUID CATALYTIC CRACKING (FCC) UNIT: SPE 69501
PY  - 2001///
CY  - Dallas, Texas
PB  - Society of Petroleum Engineers
N2  - A model, based on artificial neural networks (ANN), for a fluid catalytic cracking (FCC) unit is developed. The ANN model of the plant was developed using process and laboratory data directly from a refinery data acquisition system. And it used to predict process variables and estimate several product quality properties. The empirical model was accurate up to 98.0 % when tested on experimental data not used during training, which is an outstanding performance. The present paper shows how a neural network, three-layered perceptron, can be used effectively to simulate the actual behaviour of refining units, specifically a fluid catalytic cracking (FCC) unit
UR  - https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69501.pdf
ER  -