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undergraduate thesis
Neuronska mreža u učenju kvadriranja brojeva
Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. urn:nbn:hr:235:838695
Špoljarić, Andreja
University of Zagreb
Faculty of Mechanical Engineering and Naval Architecture

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

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Špoljarić, A. (2015). Neuronska mreža u učenju kvadriranja brojeva (Undergraduate thesis). Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:235:838695

Špoljarić, Andreja. "Neuronska mreža u učenju kvadriranja brojeva." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. https://urn.nsk.hr/urn:nbn:hr:235:838695

Špoljarić, Andreja. "Neuronska mreža u učenju kvadriranja brojeva." Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, 2015. https://urn.nsk.hr/urn:nbn:hr:235:838695

Špoljarić, A. (2015). 'Neuronska mreža u učenju kvadriranja brojeva', Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, accessed 22 November 2024, https://urn.nsk.hr/urn:nbn:hr:235:838695

Špoljarić A. Neuronska mreža u učenju kvadriranja brojeva [Undergraduate thesis]. Zagreb: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture; 2015 [cited 2024 November 22] Available at: https://urn.nsk.hr/urn:nbn:hr:235:838695

A. Špoljarić, "Neuronska mreža u učenju kvadriranja brojeva", Undergraduate thesis, University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:235:838695

Metadata
TitleNeuronska mreža u učenju kvadriranja brojeva
Title (english)Neural network in squaring numbers
AuthorAndreja Špoljarić
MentorDubravko Majetić (mentor)
GranterUniversity of Zagreb
Faculty of Mechanical Engineering and Naval Architecture
Zagreb
Defense date and country2015-03-03, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Mechanical Engineering
Abstract
U ovom radu prikazan je postupak učenja neuronske mreže s povratnim rasprostiranjem pogreške u zadatku prikaza generalizacijskog svojstva neuronske mreže za primjer kvadriranja prirodnih brojeva. Općenito gledano neuronske mreže spadaju u jedno mnogo šire područje nazvano umjetna inteligencija. Glavna karakteristika umjetnih neuronskih mreža je u tome što se one ne oslanjaju isključivo na determinsitičke matematičke postupke zbog čega svi ulazi u sustav ne moraju biti u potpunosti točni da bi on mogao pravilno raditi. Osim samog postupka učenja u ovom je radu prikazano i testiranje mreže koje se provodi nakon samog procesa učenja, a cijela programska podrška, uključujući i prikladno grafičko sučelje, načinjeni su pomoću programskog paketa MATLAB. Opis, učenje i glavne karakteristike umjetnih neuronskih mreža prikazane su i detaljno opisane u uvodu, a zatim u nastavku slijedi prikaz i način učenja i rada zadane mreže.
Abstract (english)
This paper deals with the functioning of artificial neural networks with error-back propagation whose goal is to square numbers. Generally neural networks belong to much wider area that is called artificial intelligence. The main characteristic of artificial neural networks is that they do not rely solely on deterministic mathematical procedures for which all inputs into the system may not be completely accurate so that it could work properly. In addition to the learning process in this paper, showing and testing the network carried out after the learning process, and the entire program support, including appropriate graphical interface, are made using the software package MATLAB. Description, teaching and main characteristics of artificial neural networks are shown and described in detail in the introduction. After that a presentation of the learning mode and the default operation network is given.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:235:838695
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 13:13:41