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undergraduate thesis
Umjetna inteligencija u seizmologiji
2022. urn:nbn:hr:179:126034
Kovačević, Marina
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

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Kovačević, M. (2022). Umjetna inteligencija u seizmologiji (Undergraduate thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:126034

Kovačević, Marina. "Umjetna inteligencija u seizmologiji." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:126034

Kovačević, Marina. "Umjetna inteligencija u seizmologiji." Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:126034

Kovačević, M. (2022). 'Umjetna inteligencija u seizmologiji', Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 25 October 2024, https://urn.nsk.hr/urn:nbn:hr:179:126034

Kovačević M. Umjetna inteligencija u seizmologiji [Undergraduate thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2024 October 25] Available at: https://urn.nsk.hr/urn:nbn:hr:179:126034

M. Kovačević, "Umjetna inteligencija u seizmologiji", Undergraduate thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:126034

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Metadata
TitleUmjetna inteligencija u seizmologiji
Title (english)Artificial Intelligence in Seismology
AuthorMarina Kovačević
MentorDarko Stipaničev (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U ovom radu nastoje se istražiti primjene umjetne inteligencije u seizmologiji. Objašnjava se Algoritam stabla odluke kao gradivni blok ansambala stabala odluke: Algoritma nasumičnih šuma, AdaBoost-a i CatBoost-a. U slijedećim poglavljima objašnjava se rad i primjena navedenih algoritama te tehnologija korištenih u ovom radu. Naposlijetku, u Pythonu je napravljen program koji nastoji predvidjeti vrijeme do slijedećeg laboratorijskog potresa na temelju podataka akustičnog signala. U istom poglavlju analizira se efikasnost navedenih algoritama te se biraju optimalni parametri.
Abstract (english)
The goal of this thesis is to e[plore applications of artificial intelligence in seismology. Decision Tree algorithm is e[plained as a building block of ensemble decision tree methods: Random Forest algorithm, AdaBoost and CatBoost. Ne[t chapters e[plain hoZ mentioned algorithms Zork and e[plore their applications, as Zell as technologies used in this thesis. Finally, a Python program is created Zith a goal to predict time of the ne[t laboratory earthquakes based on acoustic signal data. The same chapter analyses efficiency of mentioned algorithms and selects optimal parameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:126034
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 conditionsAccess restricted to authenticated users
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Created on2023-05-24 07:32:03