USE OF NEURAL NETWORK TO PREDICT INDUSTRIAL DRYER PERFORMANCE
B. Huang, ARUN SADASHIV MUJUMDAR · Drying Technology · 1993
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.