Prediction of extrusion pressure using an artificial neural network

被引：48
|
作者：
Li, YY
Bridgwater, J
机构：
[1] Univ Bath, Dept Chem Engn, Bath BA2 7AY, Avon, England
[2] Univ Cambridge, Dept Chem Engn, Cambridge CB2 3RA, England
来源：
POWDER TECHNOLOGY | 2000年 / 108卷 / 01期
关键词：
artificial neural network; paste extrusion; extrusion pressure;
D O I：
10.1016/S0032-5910(99)00254-5
中图分类号：
TQ [化学工业];
学科分类号：
0817 ;
摘要：
A three layer feed-forward artificial neutral network (ANN) model was used for the description of extrusion pressure. The studies employ experimental data obtained from capillary flow experiments using a paste containing 5A zeolite, bentonite and water. On comparing the experimental data, the predictions using the Benbow-Bridgwater equation and the ANN model predictions, it is found that the ANN model is capable of predicting the extrusion pressure well. The neural network model shows how the significant parameters influencing extrusion pressure can be found. (C) 2000 Elsevier Science S.A. All rights reserved.
引用
收藏
页码：65 / 73
页数：9
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