prikaz prve stranice dokumenta Primjena genski ekspresivnog programiranja na problemu simboličke regresije
No public access
undergraduate thesis
Primjena genski ekspresivnog programiranja na problemu simboličke regresije
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:172918
Krog, Tomislav
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Krog, T. (2022). Primjena genski ekspresivnog programiranja na problemu simboličke regresije (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:172918

Krog, Tomislav. "Primjena genski ekspresivnog programiranja na problemu simboličke regresije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:172918

Krog, Tomislav. "Primjena genski ekspresivnog programiranja na problemu simboličke regresije." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:172918

Krog, T. (2022). 'Primjena genski ekspresivnog programiranja na problemu simboličke regresije', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 September 2024, https://urn.nsk.hr/urn:nbn:hr:168:172918

Krog T. Primjena genski ekspresivnog programiranja na problemu simboličke regresije [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 September 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:172918

T. Krog, "Primjena genski ekspresivnog programiranja na problemu simboličke regresije", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:172918

Metadata
TitlePrimjena genski ekspresivnog programiranja na problemu simboličke regresije
Title (english)Application of gene expression programming for the symbolic regression problem
AuthorTomislav Krog
MentorMarko Đurasević (mentor)
Committee memberMarko Đurasević (predsjednik povjerenstva)
Committee memberVjeko Kužina (član povjerenstva)
Committee memberMak Gračić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Tema ovog rada je „Primjena genski ekspresivnog programiranja na problemu simboličke regresije”. Implementacija genski ekspresivnog programiranja izvedena je pomoću alata geppy koji je zasnovan na DEAP frameworku za evolucijsko računarstvo. Preinakama gotovih algoritama geppy alata te isto tako dodavanjem inovacija u alat pokušava se riješiti središnji problem ovog rada – simbolička regresija. Drugim riječima, pokušava se pronaći simbolički izraz koji odgovara podacima iz nepoznate funkcije. Kao skup podataka u ovom radu koristi se baza od 100 zagonetki simboličke regresije iz udžbenika Richarda Feynmana „The Feynman Lectures on Physics”.
Abstract (english)
The topic of this paper is "Application of gene expression programming for the symbolic regression problem". The implementation of gene expression programming was performed using an evolutionary algorithm framework called geppy which is built on top of the evolutionary computing framework called DEAP. By modifying algorithms of the geppy tool and also by adding innovations to the tool, we tried to solve the central problem of this work - symbolic regression. In other words, an attempt is made to find a symbolic expression that corresponds to data from unknown functions. As a dataset in this paper, a database of 100 puzzles of symbolic regression from Richard Feynman's textbook "The Feynman Lectures on Physics" is used.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:172918
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
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2023-01-15 10:37:45