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master's thesis
Napredni modeli za predviđanje vremenskih serija
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:067713
Ratko, Tomo
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Ratko, T. (2024). Napredni modeli za predviđanje vremenskih serija (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:067713

Ratko, Tomo. "Napredni modeli za predviđanje vremenskih serija." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:067713

Ratko, Tomo. "Napredni modeli za predviđanje vremenskih serija." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:067713

Ratko, T. (2024). 'Napredni modeli za predviđanje vremenskih serija', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:067713

Ratko T. Napredni modeli za predviđanje vremenskih serija [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:067713

T. Ratko, "Napredni modeli za predviđanje vremenskih serija", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:067713

Metadata
TitleNapredni modeli za predviđanje vremenskih serija
Title (english)Advanced Models for Time Series Forecasting
AuthorTomo Ratko
MentorVladimir Čeperić (mentor)
Committee memberVladimir Čeperić (predsjednik povjerenstva)
Committee memberStjepan Groš (član povjerenstva)
Committee memberTomislav Marković (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-20, Croatia
Abstract
U okviru ovog diplomskog rada istražuju se i primjenjuju napredni modeli za predviđanje vremenskih serija N-BEATS, N-HiTS i TSMixer, kako bi se analizirale njihove karakteristike i usporedile njihove performanse. Unutar radasemodelitrenirajunaskupovima podataka M3, M4 i M5 preuzetih iz poznatih Makridakis M natjecanja, i prilagođenih u prikladne ulaze za specifične modele. Modeli su zatim trenirani i uspoređeni sa klasičnim modelima za predviđanje vremenskih serija na temelju metrika korištenih uMnatjecanjima. Rezultati su zatim obrazloženi i predloženi su mogući budući radovi.
Abstract (english)
InthescopeofthismastersthesisweexploreanduseN-BEATS,N-HiTSandTSMixer, advanced models for time series forecasting. We analyze their characteristics and compare their performances. The models are trained on the M3, M4 and M5 datasets from the famous Makridakis M competitions, which were adapted to be inputs for specific models. Theyarethentrained on the before mentioned datasets and compared to classical models for time series forecasting based on the metrics used in the M competitions. The results are then interpreted and further work is suggested.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:067713
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 on2024-10-12 21:59:10