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undergraduate thesis
Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. urn:nbn:hr:168:108250
Terzić, Luka
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Terzić, L. (2022). Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:108250

Terzić, Luka. "Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:108250

Terzić, Luka. "Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2022. https://urn.nsk.hr/urn:nbn:hr:168:108250

Terzić, L. (2022). 'Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 16 July 2024, https://urn.nsk.hr/urn:nbn:hr:168:108250

Terzić L. Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2022 [cited 2024 July 16] Available at: https://urn.nsk.hr/urn:nbn:hr:168:108250

L. Terzić, "Optimizacija neuronske mreže evolucijskim algoritmom za igru zmija", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:168:108250

Metadata
TitleOptimizacija neuronske mreže evolucijskim algoritmom za igru zmija
Title (english)Neural network optimisation for the snake game using evolutionary algorithms
AuthorLuka Terzić
MentorMarko Đurasević (mentor)
Committee memberMarko Đurasević (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberVjeko Kužina (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2022-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Ovaj rad se bavi razvojem agenta koji će bez inicijalnog znanja naučiti igrati igru zmija. Daje se opis rada i implementacije genetskog algoritma i umjetne neuronske mreže. Kao dio implementacije genetskog algoritma ostvareni su i svi genetski operatori. Prikazane su performanse rada umjetne neuronske mreže te se uspoređuju njeni rezultati s jednostavnim algoritmom najkraćeg puta. Razvijeno je grafičko korisničko sučelje kojim se može prikazati rad algoritma te usporediti performanse rada genetskog algoritma na različitim veličinama uređaja.
Abstract (english)
This thesis deals with the development of an agent which will learn how to play the game Snake without any initial knowledge of the game. The thesis also provides a description of genetic algorithms and artificial neural networks. All of the genetic operators have been developed as a part of the implementation. The performance of the artificial neural network is evaluated against a simple shortest path algorithm. A graphical user interface is developed which could be used for comparing the performance of the genetic algorithm on different screen sizes.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:108250
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
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Created on2023-01-15 11:22:33