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undergraduate thesis
Učenje umjetne neuronske mreže algoritmom roja čestica
2023. urn:nbn:hr:168:732785
Jaić, Marin
University of Zagreb
Faculty of Electrical Engineering and Computing

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Jaić, M. (2023). Učenje umjetne neuronske mreže algoritmom roja čestica (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:732785

Jaić, Marin. "Učenje umjetne neuronske mreže algoritmom roja čestica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:732785

Jaić, Marin. "Učenje umjetne neuronske mreže algoritmom roja čestica." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2023. https://urn.nsk.hr/urn:nbn:hr:168:732785

Jaić, M. (2023). 'Učenje umjetne neuronske mreže algoritmom roja čestica', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 07 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:732785

Jaić M. Učenje umjetne neuronske mreže algoritmom roja čestica [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2023 [cited 2024 August 07] Available at: https://urn.nsk.hr/urn:nbn:hr:168:732785

M. Jaić, "Učenje umjetne neuronske mreže algoritmom roja čestica", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2023. Available at: https://urn.nsk.hr/urn:nbn:hr:168:732785

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Metadata
TitleUčenje umjetne neuronske mreže algoritmom roja čestica
Title (english)Application of Particle Swarm Optimization on Artificial Neural Network Training
AuthorMarin Jaić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberNIna Drobac (član povjerenstva)
Committee memberVjeko Kužina (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2023-07-06, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Algoritam roja čestica je prirodom inspirirani optimizacijski algoritam koji korištenjem inteligencije roja pretražuje prostor rješenja i traga za najboljim. U ovom radu algoritam roja čestica korišten je za treniranje umjetnih neuronskih mreža na klasifikacijskom problemu u 2D prostoru s binarnom klasifikacijom. Opisana je teoretska pozadina algoritma roja čestica, pristup problemu i poteškoće koje su se javljale pri razvoju rješenja.
Abstract (english)
Particle swarm optimization is a nature-inspired optimization algorithm which uses swarm intelligence to explore the solution space in search for the best solution. In this paper particle swarm optimization was utilized for training artificial neural networks on a classification problem in 2D space with binary classification. The paper describes the theoretic foundation of particle swarm optimization, the chosen approach for the problem and the challenges that emerged during development.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:732785
Study programmeTitle: Computing
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-10-11 09:06:44