Abstract
The quality of paper is strongly dependent on drying conditions. It is difficult, if not impossible, to model the development of paper quality based on theoretical considerations. In this study neural networks have been applied to model the relationship between paper quality and drying conditions. Training material for neural network was generated by using our laboratory scale drying apparatus. By using trained neural networks it is possible to simulate behavior of the characteristics features of the paper quality without time-consuming test runs.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 1993 International Joint Conference on Neural Networks (IJCNN-93-Nagoya) |
| Publisher | IEEE Institute of Electrical and Electronic Engineers |
| Pages | 1845-1848 |
| ISBN (Print) | 0-7803-1421-2 |
| DOIs | |
| Publication status | Published - 1 Dec 1993 |
| MoE publication type | Not Eligible |
| Event | International Joint Conference on Neural Networks, IJCNN '93: IJCNN '93 - Nagoya, Japan Duration: 25 Oct 1993 → 29 Oct 1993 |
Conference
| Conference | International Joint Conference on Neural Networks, IJCNN '93 |
|---|---|
| Country/Territory | Japan |
| City | Nagoya |
| Period | 25/10/93 → 29/10/93 |
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