Using of artificial intelligence for improving of lautering process productivity (part 2).
For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities. Control system Neuro-Fuzzy-Controller continuously evaluates reached...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | ces |
| Published: |
Research Institute of Brewing and Malting, Plc.
2001-01-01
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| Series: | Kvasný průmysl |
| Subjects: | |
| Online Access: | https://kvasnyprumysl.cz/en/artkey/kpr-200101-0001_Vyuziti_umele_inteligence_pro_zvyseni_produktivity_scezovaciho_procesu_cast_2.php |
| Summary: | For control of lautering process firm Kiemann and Technical University Heilbronn have developed and control system Neuro-Fuzzy-Controller, that enables to obtain very good results even under using raw stuffs of different qualities. Control system Neuro-Fuzzy-Controller continuously evaluates reached parameters, due to theirs following optimalisation is possible to keep desired quality of wort's purity to reduce a time of lautering process and to increase a number of lautering cycles. Next advantage is very easy assembley to the existing control systems of lauter fun without any additional costs.(In Czech, English summary only) |
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| ISSN: | 0023-5830 2570-8619 |