Zmanjševanje nepopolnosti proizvodnih podatkov z metodo strojnega učenja : magistrsko delo magistrskega študijskega programa II. stopnje Strojništvo

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Zmanjševanje nepopolnosti proizvodnih podatkov z metodo strojnega učenja : magistrsko delo magistrskega študijskega programa II. stopnje Strojništvo

Purić, Diko

V modernih proizvodnih sistemih se zbirajo velike količine podatkov. Spremljanje vseh izvorov podatkov ter njihovo obvladovanje prek številnih informacijskih sistemov je postala zahtevna naloga, pri ... kateri prihaja do napak. Te lahko povzročajo nepopolnost in posledično manjšo kakovost podatkov. Manjkajoče vrednosti smo zapolnili z napovedmi metode strojnega učenja, imenovane nevronske mreže. Izkazale so se za učinkovit način iskanja vzorcev v podatkih. S stališča točnosti in vnašanja pristranskosti so pridobljeni rezultati precej boljši od najpogosteje uporabljenih pripisovalnih metod.

Type of material - master's thesis ; adult, serious

Publication and manufacture - Ljubljana : [D. Purić], 2018

Language - slovenian

COBISS.SI-ID - 15965211

Link(s):
https://repozitorij.uni-lj.si/IzpisGradiva.php?id=100171

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Other authors
Vrabič, Rok | Butala, Peter, 1953-

Availability in libraries

Library/institution	City	Acronym	For loan	Other holdings
Faculty of Mechanical Engineering, Ljubljana	Ljubljana	FSLJ	reading room 1 cop.

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Year	Impact factor		Edition		Category		Classification
Year	JCR	SNIP	JCR	SNIP	JCR	SNIP	JCR	SNIP

Links to authors' personal bibliographies	Links to information on researchers in the SICRIS system
Purić, Diko
Vrabič, Rok	30914
Butala, Peter, 1953-	06765

Source: Personal bibliographies and: SICRIS

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