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undergraduate thesis
Razvoj optimalne arhitekture umjetne neuronske mreže
2018. urn:nbn:hr:168:793020
Grcić, Matej
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Grcić, M. (2018). Razvoj optimalne arhitekture umjetne neuronske mreže (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:793020

Grcić, Matej. "Razvoj optimalne arhitekture umjetne neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:793020

Grcić, Matej. "Razvoj optimalne arhitekture umjetne neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:793020

Grcić, M. (2018). 'Razvoj optimalne arhitekture umjetne neuronske mreže', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 April 2024, https://urn.nsk.hr/urn:nbn:hr:168:793020

Grcić M. Razvoj optimalne arhitekture umjetne neuronske mreže [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2024 April 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:793020

M. Grcić, "Razvoj optimalne arhitekture umjetne neuronske mreže", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:793020

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Metadata
TitleRazvoj optimalne arhitekture umjetne neuronske mreže
Title (english)Evolution of Optimal Artificial Neural Network Architecture
AuthorMatej Grcić
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberMartin Tutek (član povjerenstva)
Committee memberKarlo Knežević (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu su obrađeni postupci traženja optimalne arhitekture umjetne neuronske mreže. U radu je opisan i izrađen programski kod koji implementira indirektni pristup traženja optimalne arhitekture neuronske mreže uz pomoć genetskog algoritma. Također su objašnjeni optimizacijski algoritmi korišteni u samom postupku. Na kraju je postupak testiran na skupu podataka Iris te su prikazani rezultati.
Abstract (english)
This work describes algorithms used for evolving artificial neural networks. Within this work, the direct coding scheme is used with a genetic algorithm. The work also describes optimization algorithms used in evolving of optimal artificial neural network architecture. In the end, the implemented algorithm is tested on well-known Iris dataset. The results are also described in this work.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:793020
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 on2019-03-13 20:35:03