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master's thesis
Simulacija bioma postupcima strojnog učenja
2018. urn:nbn:hr:168:124551
Pintarić, Vedran
University of Zagreb
Faculty of Electrical Engineering and Computing

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Pintarić, V. (2018). Simulacija bioma postupcima strojnog učenja (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:124551

Pintarić, Vedran. "Simulacija bioma postupcima strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:124551

Pintarić, Vedran. "Simulacija bioma postupcima strojnog učenja." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2018. https://urn.nsk.hr/urn:nbn:hr:168:124551

Pintarić, V. (2018). 'Simulacija bioma postupcima strojnog učenja', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 January 2025, https://urn.nsk.hr/urn:nbn:hr:168:124551

Pintarić V. Simulacija bioma postupcima strojnog učenja [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2018 [cited 2025 January 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:124551

V. Pintarić, "Simulacija bioma postupcima strojnog učenja", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:168:124551

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Metadata
TitleSimulacija bioma postupcima strojnog učenja
Title (english)Biome Simulation with Machine Learning
AuthorVedran Pintarić
MentorDomagoj Jakobović (mentor)
Committee memberDomagoj Jakobović (predsjednik povjerenstva)
Committee memberAlan Jović (član povjerenstva)
Committee memberGoran Delač (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2018-07-12, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Rad uspored̄uje performanse neuronskih mreža i stabala odluke kao modela ponašanja za jedinke koje se nalaze u simuliranom 2D svijetu. Cijeli svijet i njegova pravila interakcije med̄u objektima unutar njega implementirana su i opisana u sklopu ovog rada. Modeli ponašanja optimiziraju se korištenjem generacijskog genetskog algoritma kojim se nastoji čim više približiti stvarnoj evoluciji iz prirode.
Abstract (english)
Thesis compares the performances of neural networks and decision trees as behavior models for individuals which exist in a simulated 2D world. Whole world and its rules of interaction between the objects within it are implemented and described as a part of this thesis. Behavior models are optimized by using generational genetic algorithm which tries to mimic the real evolution found in nature.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:124551
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 on2019-03-13 23:59:24