USE OF NEURAL NETWORK TO PREDICT INDUSTRIAL DRYER PERFORMANCE
- 1 January 1993
- journal article
- research article
- Published by Taylor & Francis in Drying Technology
- Vol. 11 (3) , 525-541
- https://doi.org/10.1080/07373939308916842
Abstract
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.Keywords
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