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master's thesis
Prilagodljivi programski sustav za simboličku regresiju
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. urn:nbn:hr:168:791134
Stanković, Domagoj
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Stanković, D. (2016). Prilagodljivi programski sustav za simboličku regresiju (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:791134

Stanković, Domagoj. "Prilagodljivi programski sustav za simboličku regresiju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:791134

Stanković, Domagoj. "Prilagodljivi programski sustav za simboličku regresiju." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2016. https://urn.nsk.hr/urn:nbn:hr:168:791134

Stanković, D. (2016). 'Prilagodljivi programski sustav za simboličku regresiju', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:791134

Stanković D. Prilagodljivi programski sustav za simboličku regresiju [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2016 [cited 2024 May 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:791134

D. Stanković, "Prilagodljivi programski sustav za simboličku regresiju", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:168:791134

Metadata
TitlePrilagodljivi programski sustav za simboličku regresiju
Title (english)Adaptive User Environment for Symbolic Regression
AuthorDomagoj Stanković
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberMarin Golub (član povjerenstva)
Committee memberMarko Čupić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2016-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad sastoji se od 3 dijela: dijela za olakšavanje pokretanja generičkih pokusa koji koriste ECF radni okvir, dijela za unapreĎivanje postupka simboličke regresije i dijela koji olakšava pokretanje pokusa simboličke regresije. Aplikacija ECF Lab predstavlja grafičko korisničko sučelje za jednostavnije upravljanje ECF-om, a aplikacija SymReg Lab služi za jednostavnije pokretanje pokusa simboličke regresije.
Abstract (english)
This thesis consists of 3 parts: - application for easier handling of generic experiments that use ECF framework - applying techniques for enhanced symbolic regression - application that simplifies running of symbolic regression experiments ECF Lab is a desktop application that provides graphical user interface for simple management of ECF experiments. SymReg Lab is a desktop application that makes running symbolic regression experiments easy.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:791134
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
Access conditionsClosed access
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Created on2018-02-06 12:06:49