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undergraduate thesis
Rješavanje problema smještanja i povezivanja kod sklopa FPGA
2021. urn:nbn:hr:168:402713
Škrgat, Andi
University of Zagreb
Faculty of Electrical Engineering and Computing

Cite this document

Škrgat, A. (2021). Rješavanje problema smještanja i povezivanja kod sklopa FPGA (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:402713

Škrgat, Andi. "Rješavanje problema smještanja i povezivanja kod sklopa FPGA." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:402713

Škrgat, Andi. "Rješavanje problema smještanja i povezivanja kod sklopa FPGA." Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2021. https://urn.nsk.hr/urn:nbn:hr:168:402713

Škrgat, A. (2021). 'Rješavanje problema smještanja i povezivanja kod sklopa FPGA', Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 12 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:402713

Škrgat A. Rješavanje problema smještanja i povezivanja kod sklopa FPGA [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2021 [cited 2024 November 12] Available at: https://urn.nsk.hr/urn:nbn:hr:168:402713

A. Škrgat, "Rješavanje problema smještanja i povezivanja kod sklopa FPGA", Undergraduate thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:168:402713

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Metadata
TitleRješavanje problema smještanja i povezivanja kod sklopa FPGA
Title (english)Solving placement and routing problems in FPGA
AuthorAndi Škrgat
MentorMarko Čupić (mentor)
Committee memberMarko Čupić (predsjednik povjerenstva)
Committee memberNikolina Frid (član povjerenstva)
Committee memberMihael Marović (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2021-07-01, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Genetski su algoritmi jedna od metoda evolucijskog računarstva koji imaju široku primjenu. Najčešće se upotrebljavaju za rješavanje kombinatoričkih problema i optimizacijskih problema čija je domena realno područje, no mogu se izuzetno kvalitetno koristiti i za treniranje neuronskih mreža kao alternativa algoritmu propagacije unatrag. Ovaj se rad bavi rješavanjem optimizacijskog problema mapiranja logičkog u fizički FPGA svijet pomoću genetskog algoritma. Pripremljeni su testovi na kojima je izmjerena kvaliteta rada genetskog algoritma.
Abstract (english)
Genetic algorithms are one of the methods used in evolutionary computing that has many applications. They are used for combinatoric and in optimization problems whose domain is continuum but can also give very satisfying results when used for training neural networks as an alternative to backpropagation algorithm. This paper is dealing with the problem of mapping logical model into physical FPGA model with the help of genetic algorithm. Different tests are prepared for measuring algortihm’s quality.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:402713
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 on2023-01-14 21:47:40