Usporedba algoritama neuronskih mreža

Đuranec, Erik

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undergraduate thesis

Usporedba algoritama neuronskih mreža

Varaždin: University of Zagreb, Faculty of Organization and Informatics, 2021. urn:nbn:hr:211:131317

Đuranec, Erik

University of Zagreb
Faculty of Organization and Informatics
Department of Information Systems Development

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APA 6th Edition

Đuranec, E. (2021). Usporedba algoritama neuronskih mreža (Undergraduate thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:131317

MLA 8th Edition

Đuranec, Erik. "Usporedba algoritama neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2021. https://urn.nsk.hr/urn:nbn:hr:211:131317

Chicago 17th Edition

Đuranec, Erik. "Usporedba algoritama neuronskih mreža." Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, 2021. https://urn.nsk.hr/urn:nbn:hr:211:131317

Harvard

Đuranec, E. (2021). 'Usporedba algoritama neuronskih mreža', Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 16 April 2024, https://urn.nsk.hr/urn:nbn:hr:211:131317

Vancouver

Đuranec E. Usporedba algoritama neuronskih mreža [Undergraduate thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2021 [cited 2024 April 16] Available at: https://urn.nsk.hr/urn:nbn:hr:211:131317

IEEE

E. Đuranec, "Usporedba algoritama neuronskih mreža", Undergraduate thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:211:131317

Cite this item: https://urn.nsk.hr/urn:nbn:hr:211:131317

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Metadata

Title	Usporedba algoritama neuronskih mreža
Title (english)	Comparison of neural network algorithms
Author	Erik Đuranec
Mentor	Dijana Oreški (mentor) MBZ: 318615
Committee member	Božidar Kliček (član povjerenstva) MBZ: 95426
Granter	University of Zagreb Faculty of Organization and Informatics (Department of Information Systems Development) Varaždin
Defense date and country	2021-09-10, Croatia
Scientific / art field, discipline and subdiscipline	SOCIAL SCIENCES Information and Communication Sciences Organization and Informatics
Abstract	Ovaj rad se bavi tematikom neuronskih mreža od teoretskog aspekta pa sve do uspoređivanja konkretnih algoritama učenja. Preciznije, ovaj rad se dotiče fundamentalnih osnova i principa funkcioniranja neuronske mreže od umjetnog neurona preko aktivacijskih funkcija i mrežnih topologija pa sve do algoritama učenja. Naravno, postoje mnogi algoritmi koji su zaduženi za funkcioniranje neuronske mreže, ali mi ćemo u ovome radu fokus staviti na četiri algoritma učenja. Konkretno, usporedit ćemo performanse algoritma gradijentnog spusta, konjugiranog gradijentnog spusta, Quasi-Newton metode te Levenberg-Marquardt algoritma kao algoritama treniranja ili učenja neuronske mreže. Pritom je arhitektura neuronske mreže koju koristimo fiksna kako bi ostale varijable, izuzev samih algoritama učenja, ostale kontrolirane. Naposljetku se izvodi zaključak o performansama pojedinog algoritma uz preporuke za odabir istog.
Keywords
Language	croatian
URN:NBN	urn:nbn:hr:211:131317
Study programme	Title: Business Systems Study programme type: university Study level: undergraduate Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) informatike)
Type of resource	Text
File origin	Born digital
Access conditions	Open access
Terms of use
Repository	Faculty of Organization and Informatics - Digital Repository
Created on	2021-09-13 04:13:35

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