Gehlen, Stefan ; Tolle, Henning ; Kreuzig, J. ; Friedl, Peter (2023)
Integration of Expert Systems and Neural Networks for the Control of Fermentation Processes.
In: IFAC Proceedings Volumes, 1992, 25 (2)
doi: 10.26083/tuprints-00023386
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Integration of Expert Systems and Neural Networks for the Control of Fermentation Processes |
| Language: | English |
| Date: | 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 1992 |
| Publisher: | IFAC - International Federation of Automatic Control |
| Journal or Publication Title: | IFAC Proceedings Volumes |
| Volume of the journal: | 25 |
| Issue Number: | 2 |
| DOI: | 10.26083/tuprints-00023386 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| Abstract: | Expert systems and neural networks are new tools for the control of fermentation processes. With expert systems the fermentation plant and the process itself is modelled via a generalized, qualitative system description based on the experience of human experts. On the other hand neural networks and interpolating associative memories can learn the process behaviour directly by process observation. The paper at hand reports, how both control techniques can be combined for purposes like process supervision, modelling and optimization of biological plants. |
| Uncontrolled Keywords: | Expert systems, neural networks, associative memories, learning control, fermentation processes, biotechnology |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-233869 |
| Additional Information: | Zugl. Konferenzveröffentlichung: 2nd IFAC Symposium on Modelling and Control of Biotechnical Processes and Computer Applications in Fermentation Technology (5th International Conference), 29.03.-02.04.1992, Keystone, Colorado, USA |
| Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems |
| Date Deposited: | 25 Apr 2023 12:37 |
| Last Modified: | 12 Jul 2023 12:25 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23386 |
| PPN: | 509531334 |
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