USE OF NEURAL NETWORK TO PREDICT INDUSTRIAL DRYER PERFORMANCE

被引：69

作者：

HUANG, B

MUJUMDAR, AS

机构：

[1] Department of Chemical Engineering, McGill University, Montreal, Quebec

来源：

DRYING TECHNOLOGY | 1993年 / 11卷 / 03期

关键词：

DRYER MODEL; TISSUE DRYER; REGRESSION ANALYSIS; ARTIFICIAL INTELLIGENCE;

D O I：

10.1080/07373939308916842

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The use of neural networks to predict performance of a Yankee dryer is presented. A 3-layer network with 4 inputs and 2 outputs is used. Training is performed using back-propagation algorithm and data from a Yankee simulation program based on Karlsson and Heikkila's model. The trained network is evaluated using randomly generated test cases as input. The effect of number of training cases and hidden neurons are examined.

引用

页码：525 / 541

页数：17

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