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master's thesis
Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka
Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. urn:nbn:hr:200:288429
Falak, Antonio
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Software Engineering
Chair of Programming Languages and Systems

Institutional repository: Faculty of Electrical Engineering, Computer Science and Information Technology Osijek

Cite this document

Falak, A. (2018). Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka (Master's thesis). Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek. Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:288429

Falak, Antonio. "Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:288429

Falak, Antonio. "Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka." Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2018. https://urn.nsk.hr/urn:nbn:hr:200:288429

Falak, A. (2018). 'Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka', Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 28 November 2024, https://urn.nsk.hr/urn:nbn:hr:200:288429

Falak A. Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka [Master's thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2018 [cited 2024 November 28] Available at: https://urn.nsk.hr/urn:nbn:hr:200:288429

A. Falak, "Izgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka", Master's thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2018. Available at: https://urn.nsk.hr/urn:nbn:hr:200:288429

Metadata
TitleIzgradnja radijalnih mreza za klasifikaciju pomoću grupiranja podataka
Title (english)Radial basis function network design for classification using data clustering
AuthorAntonio Falak
MentorGoran Martinović (mentor)
MentorDražen Bajer (mentor)
Committee memberGoran Martinović (predsjednik povjerenstva)
Committee memberZdravko Krpić (član povjerenstva)
Committee memberDražen Bajer (član povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Software Engineering)
(Chair of Programming Languages and Systems)
Osijek
Defense date and country2018-10-15, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
U diplomskom radu razmotren je problem klasifikacije kojem je pristupljeno metodom umjetne neuronske mreže, preciznije, korištena je radijalna neuronska mreža. Radijalne neuronske mreže posjeduju nekoliko parametara koje je potrebno odrediti, a za aktivacijske funkcije koriste radijalne funkcije. Neuroni skrivenog sloja implementiraju algoritam za grupiranje podataka zvan k-means. IzraĎeno je programsko rješenje koje korisnicima omogućuje korištenje neuronske mreže putem intuitivnog grafičkog radnog okvira. Provedena je eksperimentalna analiza nad pet skupova podataka koristeći različite metode za odreĎivanje parametara radijalne neuronske mreže.
Abstract (english)
Graduation thesis deals with a problem of classification by an artificial neural network approach, more precisely, by using a radial basis neural network. Radial basis neural networks have several parameters to determine, and radial basis functions are used for activation functions. The hidden layer neurons implement data clustering algorithm called k-means. A desktop application that allows users to use a neural network through an intuitive graphical interface was developed. An experimental analysis of five data sets was performed by using different methods for determining radial basis neural network parameters.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:288429
Study programmeTitle: Graduate University Study Programme in Computer Engineering
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
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2018-10-16 12:19:56