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master's thesis
Usporedba neuronskih mreža učenih algoritmima rojeva
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2017. urn:nbn:hr:235:006515
Milas, Krešimir
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

Institutional repository: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb

Cite this document

Milas, K. (2017). Usporedba neuronskih mreža učenih algoritmima rojeva (Master's thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:006515

Milas, Krešimir. "Usporedba neuronskih mreža učenih algoritmima rojeva." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2017. https://urn.nsk.hr/urn:nbn:hr:235:006515

Milas, Krešimir. "Usporedba neuronskih mreža učenih algoritmima rojeva." Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2017. https://urn.nsk.hr/urn:nbn:hr:235:006515

Milas, K. (2017). 'Usporedba neuronskih mreža učenih algoritmima rojeva', Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 13 July 2024, https://urn.nsk.hr/urn:nbn:hr:235:006515

Milas K. Usporedba neuronskih mreža učenih algoritmima rojeva [Master's thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2017 [cited 2024 July 13] Available at: https://urn.nsk.hr/urn:nbn:hr:235:006515

K. Milas, "Usporedba neuronskih mreža učenih algoritmima rojeva", Master's thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2017. Available at: https://urn.nsk.hr/urn:nbn:hr:235:006515

Metadata
TitleUsporedba neuronskih mreža učenih algoritmima rojeva
Title (english)Comparison of neural networks learned with swarm algorithms
AuthorKrešimir Milas
MentorDubravko Majetić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2017-01-26, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom radu se obrađuju neuronske mreže učene algoritmima rojeva. Koriste se dva najčešće korištena algoritma rojeva: PSO (Particle Swarm Optimization) i ABC(Artificial Bee Colony). Prvo se istražuje utjecaj parametara učenja pojedinih algoritama na kvalitetu i brzinu učenja, a potom se mreže učene različitim algoritmima rojeva uspoređuju međusobno po kriterijima kvalitete i brzine učenja. Uspoređuju se mreže s koje su imale najbolja generalizacijska svojstva. Na kraju se uspoređuju mreže učene algoritmima rojeva s mrežama učenim algoritmom s povratnim prostiranjem greške.
Abstract (english)
This paper dealt with neural networks trained using swarm intelligence. Two most common swarm intelligence algorithms have been used: PSO (Particle Swarm Optimization) and ABC (Artificial Bee Colony). Firstly, the impact of training parameters on training process has been explored and then neural networks trained by different swarm intelligence algorithms have been compared on error achieved and epochs elapsed criteria. Neural networks compared were ones that achieved best generalization performance. Lastly, neural networks trained with swarm intelligence are compared to error-backpropagation neural networks.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:006515
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka strojarstva (magistar/magistra inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-22 18:30:00