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Potencial strojnega učenja za identifikacijo napak v dinamiki rotorjev : diplomsko delo Visokošolskega strokovnega študijskega programa I. stopnje StrojništvoBalkovec, GregorObravnavan je potencial strojnega učenja pri identifikaciji napak v ležajih. V začetku je predstavljeno stanje znanosti na tem področju, katere metode strojnega učenja se uporabljajo in njihova ... uspešnost. Nato so predstavljene osnove najpogostejših metod. Sledi implementacija teh metod na novem naboru podatkov, ki predstavlja bolj realne pogoje vgradnje ležajev. Na koncu so metode primerjane med seboj.Type of material - undergraduate thesis ; adult, seriousPublication and manufacture - Ljubljana : [G. Balkovec], 2020Language - slovenianCOBISS.SI-ID - 30104067
Author
Balkovec, Gregor
Other authors
Slavič, Janko, 1978-
Topics
diplomske naloge |
strojno učenje |
umetna inteligenca |
k-bližnjih sosedov |
metoda podpornih vektorjev |
večslojni perceptron |
python |
scikit-learn |
machine learning |
artificial intelligence |
k-nearest neighbor |
support-vector machine |
multilayer perceptron |
python |
scikit-learn
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City | Acronym | For loan | Other holdings |
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Faculty of Mechanical Engineering, Ljubljana | Ljubljana | FSLJ |
reading room 1 cop.
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DRS, in which the journal is indexed
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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Balkovec, Gregor | |
Slavič, Janko, 1978- | 23010 |
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