Title :
Inference of distillation column products quality using Bayesian networks
Author :
Barbosa, C.Hall ; Melo, B. ; Vellasco, M. ; Pacheco, M. ; Vasconcellos, L.P.
Author_Institution :
Pontificia Univ. Catolica do Rio de Janeiro, Brazil
fDate :
6/24/1905 12:00:00 AM
Abstract :
Different neural networks algorithms have already been employed on the inference of distillation column products quality. This paper applies Bayesian neural networks on the inference of diesel 85% ASTM distillation, and compares the results with traditional multilayer perceptrons. Also, several pre-processing and variables selection methods have been implemented and tested
Keywords :
belief networks; distillation; inference mechanisms; neural nets; oil refining; quality control; Bayesian networks; distillation column product quality; inference; neural network algorithms; Bayesian methods; Distillation equipment; Inference algorithms; Input variables; Multi-layer neural network; Multilayer perceptrons; Neural networks; Recurrent neural networks; Refining; Testing;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005448
