prikaz prve stranice dokumenta Umjetne neuronske mreže
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undergraduate thesis
Umjetne neuronske mreže
2016. urn:nbn:hr:157:946417
Borozni, Katarina
University of Rijeka
Faculty of Civil Engineering

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Borozni, K. (2016). Umjetne neuronske mreže (Undergraduate thesis). Rijeka: University of Rijeka, Faculty of Civil Engineering. Retrieved from https://urn.nsk.hr/urn:nbn:hr:157:946417

Borozni, Katarina. "Umjetne neuronske mreže." Undergraduate thesis, University of Rijeka, Faculty of Civil Engineering, 2016. https://urn.nsk.hr/urn:nbn:hr:157:946417

Borozni, Katarina. "Umjetne neuronske mreže." Undergraduate thesis, University of Rijeka, Faculty of Civil Engineering, 2016. https://urn.nsk.hr/urn:nbn:hr:157:946417

Borozni, K. (2016). 'Umjetne neuronske mreže', Undergraduate thesis, University of Rijeka, Faculty of Civil Engineering, accessed 07 July 2024, https://urn.nsk.hr/urn:nbn:hr:157:946417

Borozni K. Umjetne neuronske mreže [Undergraduate thesis]. Rijeka: University of Rijeka, Faculty of Civil Engineering; 2016 [cited 2024 July 07] Available at: https://urn.nsk.hr/urn:nbn:hr:157:946417

K. Borozni, "Umjetne neuronske mreže", Undergraduate thesis, University of Rijeka, Faculty of Civil Engineering, Rijeka, 2016. Available at: https://urn.nsk.hr/urn:nbn:hr:157:946417

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Metadata
TitleUmjetne neuronske mreže
Title (english)Artificial Neural Networks
AuthorKatarina Borozni
MentorNevenka Ožanić (mentor)
Committee memberNevenka Ožanić (predsjednik povjerenstva)
GranterUniversity of Rijeka
Faculty of Civil Engineering
Rijeka
Defense date and country2016-09-23, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Civil Engineering
Hydrotechnology
Abstract
Tema ovog završnog rada su umjetne neuronske mreže. U radu su opisane umjetne neuronske mreže, povezanost umjetnih neuronskih mreža s biološkim neuronskim mrežama, povijest razvoja umjetnih neuronskih mreža, objašnjenje arhitektura mreže i njihovih značajki, proces učenja mreža te su navedeni načini učenja. Također su navedeni i opisani primjeri primjene umjetnih neuronskih mreža u Hidrologiji. Cilj ovog završnog rada je objasniti strukturu umjetnih neuronskih mreža, razvoj kroz povijest, princip njihova rada i učenja te navesti njihovu primjenu u znanosti općenito i primjenu u samoj Hidrologiji onima koji još nisu upoznati s ovom cjelinom.
Abstract (english)
Artificial neural networks (ANN) are the main topic of this paper. This paper consist of detailed description of the artificial neural networks, connection between artificial neural networks and biological neural networks, historical development of the ANN, architecture of the ANN and their features and the learning processes of the networks. There are also a few examples of the ANN applications in the hydrology. The main goal of this paper is to explain the artificial neural networks structure, development through the history and functioning and learning principles. It is also important to mention application of ANN in the science and in the hydrology to those who are not familiar with this topic.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:157:946417
ProjectNumber: 13.05.1.1.03
Title: Hidrologija vodnih resursa i identifikacija rizika od poplava i blatnih tokova na krškom području
Leader: Nevenka Ožanić
Jurisdiction: Croatia
Funder: UNIRI
Study programmeTitle: Civil Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka građevinarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka građevinarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence In copyright icon
Created on2016-09-28 12:50:33