prikaz prve stranice dokumenta Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža
No public access
master's thesis
Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. urn:nbn:hr:168:444619
Živčec, Danijel
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

Cite this document

Živčec, D. (2015). Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:444619

Živčec, Danijel. "Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:444619

Živčec, Danijel. "Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2015. https://urn.nsk.hr/urn:nbn:hr:168:444619

Živčec, D. (2015). 'Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 04 May 2024, https://urn.nsk.hr/urn:nbn:hr:168:444619

Živčec D. Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2015 [cited 2024 May 04] Available at: https://urn.nsk.hr/urn:nbn:hr:168:444619

D. Živčec, "Predikcija vremenskih slijedova primjenom dubokih neuronskih mreža", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2015. Available at: https://urn.nsk.hr/urn:nbn:hr:168:444619

Metadata
TitlePredikcija vremenskih slijedova primjenom dubokih neuronskih mreža
Title (english)Time series prediction with deep neural networks
AuthorDanijel Živčec
MentorMato Baotić (mentor)
Committee memberMato Baotić (član povjerenstva)
Committee memberNedjeljko Perić (član povjerenstva)
Committee memberMario Vašak (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2015-07-13, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Electrical Engineering
Abstract
U ovom su radu prikazane različite strukture i načini rada dubokih neuronskih mreža s naglaskom na autoenkodere i ograničene Boltzmannove strojeve. Te strukture su istražene i ispitana je njihova primjena u predikciji vremenskih slijedova. Različiti testovi su provedeni na klasičnim primjerima vremenskih slijedova: predikcija dioničkog indeksa, potrošnja električne energije i temperaturna mjerenja. Na kraju je prikazana evaluacija različitih dubokih arhitektura.
Abstract (english)
In this thesis, deep neural network architectures and algorithms are analyzed with an emphasis on stacked auto-encoders and restricted Boltzmann machines. These structures were used to explore and test their applicability in time-series prediction. Several tests were designed to predict values of some classical time-series problems: financial time-series, consumption of electrical energy in household and temperature measurements in independent solar house. Following that, the performance of different network structures were evaluated and reported.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:444619
Study programmeTitle: Electrical Engineering and Information Technology
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije (magistar/magistra inženjer/inženjerka elektrotehnike i informacijske tehnologije)
Type of resourceText
File originBorn digital
Access conditionsClosed access
Terms of useLicence In copyright icon
Public note
Created on2018-02-06 14:37:04