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master's thesis
Otkrivanje fizikalnih izraza genetskim programiranjem
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:389411
Prevendar, Filip
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Prevendar, F. (2022). Otkrivanje fizikalnih izraza genetskim programiranjem (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:389411

Prevendar, Filip. "Otkrivanje fizikalnih izraza genetskim programiranjem." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:389411

Prevendar, Filip. "Otkrivanje fizikalnih izraza genetskim programiranjem." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:389411

Prevendar, F. (2022). 'Otkrivanje fizikalnih izraza genetskim programiranjem', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 15 August 2024, https://urn.nsk.hr/urn:nbn:hr:168:389411

Prevendar F. Otkrivanje fizikalnih izraza genetskim programiranjem [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 August 15] Available at: https://urn.nsk.hr/urn:nbn:hr:168:389411

F. Prevendar, "Otkrivanje fizikalnih izraza genetskim programiranjem", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:389411

Metadata
TitleOtkrivanje fizikalnih izraza genetskim programiranjem
Title (english)Discovering physical expressions using genetic programming
AuthorFilip Prevendar
MentorMarko Đurasević (mentor)
Committee memberMarko Đurasević (predsjednik povjerenstva)
Committee memberDomagoj Jakobović (član povjerenstva)
Committee memberŽeljka Mihajlović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-04, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu pokušava se otkriti 100 jednadžbi iz fizike u obliku y = f(x) koje su zadane kao skup točaka x i pripadne vrijednosti y. Takav problem naziva se simbolička regresija i u ovom radu se rješava pomoću genetskog programiranja, posebnog oblika genetskog algoritma gdje su jedinke stabla umjesto vektora vrijednosti fiksne veličine.
Abstract (english)
In this thesis 100 equations from physics are attempted to be guessed. The equations are in a form y = f(x) where x is given as a set of points, and y is associated value with the given point. Such problem is called symbolic regression and in this thesis, the problem is tackled with genetic programming, a special case of genetic algorithm where instead of using vectors with fixed length containing values, trees are used as a solution.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:389411
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
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Created on2023-01-14 09:44:31