Using of artificial intelligence for improving of lautering process productivity (part 1).
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 |
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Research Institute of Brewing and Malting, Plc.
2000-12-01
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| Series: | Kvasný průmysl |
| Subjects: | |
| Online Access: | https://kvasnyprumysl.cz/en/artkey/kpr-200012-0001_Vyuziti_umele_inteligence_pro_zvyseni_produktivity_scezovaciho_procesu_cast_1.php |
| _version_ | 1811296453893554176 |
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| author | F. MIROLL H. J. MENGER G. LILLICH P. BLESSING N. WAGNER |
| author_facet | F. MIROLL H. J. MENGER G. LILLICH P. BLESSING N. WAGNER |
| author_sort | F. MIROLL |
| collection | DOAJ |
| description | 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.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. |
| first_indexed | 2024-04-13T05:48:41Z |
| format | Article |
| id | doaj.art-a4fd0aa20c4a4a54b42171c776e0d5d5 |
| institution | Directory Open Access Journal |
| issn | 0023-5830 2570-8619 |
| language | ces |
| last_indexed | 2024-04-13T05:48:41Z |
| publishDate | 2000-12-01 |
| publisher | Research Institute of Brewing and Malting, Plc. |
| record_format | Article |
| series | Kvasný průmysl |
| spelling | doaj.art-a4fd0aa20c4a4a54b42171c776e0d5d52022-12-22T02:59:52ZcesResearch Institute of Brewing and Malting, Plc.Kvasný průmysl0023-58302570-86192000-12-01461234734910.18832/kp2000028kpr-200012-0001Using of artificial intelligence for improving of lautering process productivity (part 1).F. MIROLLH. J. MENGERG. LILLICHP. BLESSINGN. WAGNERFor 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.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.https://kvasnyprumysl.cz/en/artkey/kpr-200012-0001_Vyuziti_umele_inteligence_pro_zvyseni_produktivity_scezovaciho_procesu_cast_1.phplautering processartificial intelligence |
| spellingShingle | F. MIROLL H. J. MENGER G. LILLICH P. BLESSING N. WAGNER Using of artificial intelligence for improving of lautering process productivity (part 1). Kvasný průmysl lautering process artificial intelligence |
| title | Using of artificial intelligence for improving of lautering process productivity (part 1). |
| title_full | Using of artificial intelligence for improving of lautering process productivity (part 1). |
| title_fullStr | Using of artificial intelligence for improving of lautering process productivity (part 1). |
| title_full_unstemmed | Using of artificial intelligence for improving of lautering process productivity (part 1). |
| title_short | Using of artificial intelligence for improving of lautering process productivity (part 1). |
| title_sort | using of artificial intelligence for improving of lautering process productivity part 1 |
| topic | lautering process artificial intelligence |
| url | https://kvasnyprumysl.cz/en/artkey/kpr-200012-0001_Vyuziti_umele_inteligence_pro_zvyseni_produktivity_scezovaciho_procesu_cast_1.php |
| work_keys_str_mv | AT fmiroll usingofartificialintelligenceforimprovingoflauteringprocessproductivitypart1 AT hjmenger usingofartificialintelligenceforimprovingoflauteringprocessproductivitypart1 AT glillich usingofartificialintelligenceforimprovingoflauteringprocessproductivitypart1 AT pblessing usingofartificialintelligenceforimprovingoflauteringprocessproductivitypart1 AT nwagner usingofartificialintelligenceforimprovingoflauteringprocessproductivitypart1 |