prikaz prve stranice dokumenta Generalizacijsko svojstvo unaprijedne neuronske mreže
  Download
PDF 928.46 KB
undergraduate thesis
Generalizacijsko svojstvo unaprijedne neuronske mreže
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2016. urn:nbn:hr:235:788753
Markučič, Joško
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

Markučič, J. (2016). Generalizacijsko svojstvo unaprijedne neuronske mreže (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:788753

Markučič, Joško. "Generalizacijsko svojstvo unaprijedne neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2016. https://urn.nsk.hr/urn:nbn:hr:235:788753

Markučič, Joško. "Generalizacijsko svojstvo unaprijedne neuronske mreže." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2016. https://urn.nsk.hr/urn:nbn:hr:235:788753

Markučič, J. (2016). 'Generalizacijsko svojstvo unaprijedne neuronske mreže', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 13 July 2024, https://urn.nsk.hr/urn:nbn:hr:235:788753

Markučič J. Generalizacijsko svojstvo unaprijedne neuronske mreže [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2016 [cited 2024 July 13] Available at: https://urn.nsk.hr/urn:nbn:hr:235:788753

J. Markučič, "Generalizacijsko svojstvo unaprijedne neuronske mreže", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:235:788753

Metadata
TitleGeneralizacijsko svojstvo unaprijedne neuronske mreže
Title (english)Generalisation property of feed forward neural network
AuthorJoško Markučič
MentorDubravko Majetić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2016-09-21, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom radu prikazan je postupak učenja umjetne neuronske mreže s povratnim rasprostiranjem pogreške u zadatku prikaza generalizacijskog svojstva neuronske mreže na primjeru ponašanja nelinearnog i linearnog dinamičkog člana prvog reda. Glavna značajka umjetnih neuronskih mreža je mogućnost estimacije funkcija koje ovise o velikom broju ulaza koji nisu općenito poznati. Uz sam postupak učenja u ovom radu je prikazano i testiranje mreže koje se provodi nakon samog postupka učenja. Programska podrška kojom je implementirana opisana umjetna neuronska mreža i postupak učenja u cijelosti je izrađena u programskom paketu MATLAB. Opis, učenje i glavne značajke umjetnih neuronskih mreža prikazane su i detaljno upisane u uvodu, a zatim je u nastavku prikazan način učenja i rada zadane mreže.
Abstract (english)
This paper shows the feed forward neural networks with error back-propagation generalisation property of nonlinear and linear first order dynamic. The main attribute of artificial neural networks is the ability to estimate or approximate functions that can depend on a large number of inputs that are generally unkown. Aside from the learning process, this paper also shows the neural network testing process which comes right after the learning stage. The program implementing the described artificial network and learning process has been entirely made in MATLAB. Description, main attributes and learning of artificial neural networks are shown and described in the introduction, after which the learning process is shown.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:788753
Study programmeTitle: Mechanical Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2019-05-22 17:40:14