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Model oblikovanja prilagodljivih obdelovalnih sistemov z genetskimi algoritmi : magistrska nalogaFicko, MirkoV magistrskem delu obravnavamo možnosti reševanja problemov v sodobni proizvodnji z metodami strojnega učenja kot področju umetne inteligence. Zaradi množice najrazličnejših proizvodnih scenarijev ... prepoznamo nujnost uporabe umetne inteligence in s tem inteligentnih sistemov v obdelovalnih sistemih. V prvem delu raziskave podrobneje proučujemo področja umetne inteligence. Predstavimo tezo, da so inteligentni obdelovalni sistemi učinkovit odgovor na hitre spremembe v okolju. Napravimo kratek pregled baz znanja, nevronskih mrež, mehkih sistemov in evolucijskega računanja. Nato se podrobneje posvetimo možnosti reševanja kombinatoričnih problemov z genetskimi algoritmi. V drugem delu raziskave uporabimo pridobljeno znanje za oblikovanje prilagodljivega obdelovalnega sistema. Zaradi visokega deleža stroškov transporta in manipulacije s predmeti dela v skupnih izdelovalnih stroških, je dobra razporeditev naprav ključna za uspešno izveden prilagodljiv obdelovalni sistem. V raziskavi smo uporabili linijsko razporeditev strojev in naprav. Za takšen način razporejanja smo pripravili matematični model in genetski algoritem, ki uporablja ta model. Na koncu smo opravili se empirično analizo in zbrane rezultate statistično obdelali. Raziskava kaže, da je pristop z genetski algoritmi primeren za oblikovanje prilagodljivega obdelovalnega sistema.Type of material - master's thesisPublication and manufacture - Maribor : [M. Ficko], 2002Language - slovenianCOBISS.SI-ID - 7211542
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Library/institution |
City | Acronym | For loan | Other holdings |
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Library of Technical Faculties, Maribor | Maribor | KTFMB |
reading room 1 cop.
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Database name | Field | Year |
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Links to authors' personal bibliographies | Links to information on researchers in the SICRIS system |
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Ficko, Mirko | 20231 |
Balič, Jože | 04011 |
Brezočnik, Miran | 12657 |
Source: Personal bibliographies
and: SICRIS
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