Use of neural networks for liquid-liquid extraction column modelling: an experimental study

被引：40

作者：

Chouai, A ^{[1
]}

Cabassud, M ^{[1
]}

Le Lann, MV ^{[1
]}

Gourdon, C ^{[1
]}

Casamatta, G ^{[1
]}

机构：

[1] Ecole Natl Super Ingenieurs Genie Chim, Lab Genie Chim, UMR CNRS 5503, F-31078 Toulouse 4, France

来源：

CHEMICAL ENGINEERING AND PROCESSING-PROCESS INTENSIFICATION | 2000年 / 39卷 / 02期

关键词：

solvent extraction; pulsed column; wastewater treatment; neural network; modelling; prediction;

D O I：

10.1016/S0255-2701(99)00086-0

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

This paper presents a new application of neural networks to the modelling of a chemical pilot plant: a pulsed liquid-liquid extraction column. This separation process presents a highly non-linear behaviour and time-varying dynamics. Usually, physical simulation models of chemical plants describing some aspects of hydrodynamics and mass transfer are static or very complex and need excessive computer time. It is proposed that improved predictions can be obtained using a multilayer artificial neural network instead of the physical model of the process. The results obtained illustrate the successful application of such a neural network modelling approach. (C) 2000 Elsevier Science S.A. All rights reserved.

引用

页码：171 / 180

页数：10

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