ON-LINE ESTIMATION OF VAPOUR PRESSURE OF STABLIZED GASOLINE VIA ANN’S

The use of artificial neural network based model for the on-line estimation of the Reid Va-por Pressure of stabilized gasoline in a stabilizer after the stripper-reabsorber in the fluid catalyticcracking unit is investigated.The quadratic basis function network(QBFN)which uses a simplequadratic func...

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Veröffentlicht in:中国化学工程学报:英文版 1997 (1), p.27-32
1. Verfasser: 何小荣 赵晓光 陈丙珍
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creator 何小荣 赵晓光 陈丙珍
description The use of artificial neural network based model for the on-line estimation of the Reid Va-por Pressure of stabilized gasoline in a stabilizer after the stripper-reabsorber in the fluid catalyticcracking unit is investigated.The quadratic basis function network(QBFN)which uses a simplequadratic function instead of sigmoid function typically used in back-propagation network is em-ployed.180 sets of historical operation data have been selected for training and testing the QBFN.To overcome the local minimum point which often occurs during the training phase,a new algorithmcombining the simulated annealing approach with the improved GDR has been applied.Furthermore,the developed model has been installed on-line in a refinery for on-line testing.Thetesting results show that the model is sufficiently accurate and it can be used on site as an on-lineanalyzer.
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identifier ISSN: 1004-9541
ispartof 中国化学工程学报:英文版, 1997 (1), p.27-32
issn 1004-9541
2210-321X
language eng
recordid cdi_chongqing_primary_3001022683
source Alma/SFX Local Collection
subjects annealing
approach
basis
function
network
neural
Pressure
quadratic
Reid
simulated
Vapor
title ON-LINE ESTIMATION OF VAPOUR PRESSURE OF STABLIZED GASOLINE VIA ANN’S
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