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USE OF NEURAL NETWORK TO PREDICT INDUSTRIAL DRYER PERFORMANCE

 

作者: B. Huang,   A.S. Mujumdar,  

 

期刊: Drying Technology  （Taylor Available online 1993）
卷期: Volume 11, issue 3  

页码: 525-541

 

ISSN:0737-3937

 

年代: 1993

 

DOI:10.1080/07373939308916842

 

出版商: Taylor & Francis Group

 

关键词: dryer model;tissue dryer;regression analysis;artificial intelligence

 

数据来源: Taylor

 

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 usd. 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.

 

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