Analysis of quality properties in paper drying with neural networks

Pekka Elo, Jukka Saarinen, Kimmo Kaski, Pekka Pakarinen, Harri Kiiskinen, Sakari Kaijaluoto, Kari Edelmann

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

1 Citation (Scopus)


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 languageEnglish
Title of host publicationProceedings of 1993 International Joint Conference on Neural Networks (IJCNN-93-Nagoya)
PublisherIEEE Institute of Electrical and Electronic Engineers
ISBN (Print)0-7803-1421-2
Publication statusPublished - 1 Dec 1993
MoE publication typeNot Eligible
EventInternational Joint Conference on Neural Networks, IJCNN '93: IJCNN '93 - Nagoya, Japan
Duration: 25 Oct 199329 Oct 1993


ConferenceInternational Joint Conference on Neural Networks, IJCNN '93

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