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master's thesis
Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja
2020. urn:nbn:hr:166:638354
Bilokapić, Zvonimir
University of Split
Faculty of Science
Department of Physics

Cite this document

Bilokapić, Z. (2020). Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja (Master's thesis). Split: University of Split, Faculty of Science. Retrieved from https://urn.nsk.hr/urn:nbn:hr:166:638354

Bilokapić, Zvonimir. "Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja." Master's thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:638354

Bilokapić, Zvonimir. "Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja." Master's thesis, University of Split, Faculty of Science, 2020. https://urn.nsk.hr/urn:nbn:hr:166:638354

Bilokapić, Z. (2020). 'Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja', Master's thesis, University of Split, Faculty of Science, accessed 21 June 2024, https://urn.nsk.hr/urn:nbn:hr:166:638354

Bilokapić Z. Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja [Master's thesis]. Split: University of Split, Faculty of Science; 2020 [cited 2024 June 21] Available at: https://urn.nsk.hr/urn:nbn:hr:166:638354

Z. Bilokapić, "Rekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja", Master's thesis, University of Split, Faculty of Science, Split, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:166:638354

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Metadata
TitleRekonstrukcija oceanografskih podataka koristeći tehnike strojnog učenja
Title (english)Reconstruction of oceanographic data by using machine learning
AuthorZvonimir Bilokapić
MentorHrvoje Kalinić (mentor)
Committee memberHrvoje Kalinić (predsjednik povjerenstva)
Committee memberŽarko Kovač (član povjerenstva)
Committee memberFrano Matić (član povjerenstva)
GranterUniversity of Split
Faculty of Science
(Department of Physics)
Split
Defense date and country2020-07-28, Croatia
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Geophysics
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi rekonstrukcijom podataka vjetra nad Jadranskim bazenom koristeći metode strojnog učenja. Kroz niz posebno osmišljenih eksperimenata se simulira nedostatak određenog dijela podataka te se postavlja pitanje u koliko dobroj mjeri možemo rekonstruirati te podatke. Također se proučava koliko je točaka potrebno za kvalitetnu rekonstrukciju i kako odabir točaka utječe na točnost rekonstrukcije.
Abstract (english)
This paper deals with the reconstruction of the wind data on the Adria pool using machine learning methods. Through a series of carefully designed experiments, we simulate a lack of specific portion of data and ask ourselves how well we can reconstruct the data. We also study how many points are needed for the reconstruction to be good and how the location of those points affects the precision of the reconstruction.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:166:638354
Study programmeTitle: Physics; specializations in: major in teaching, major in Astrophysics, major in Biophysics, major in Enviromental physics, major in Computational physics, major in Astrophysics and physics of elemental particles
Course: major in Computational physics
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra fizike (magistar/magistra fizike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2021-02-01 10:57:11