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Univerzitet u Beogradu

1. Kojić, Nenad, 1977-. Primena neuralnih mreža u rešavanju transportnih problema.

Degree: Elektrotehnički fakultet, 2013, Univerzitet u Beogradu

Elektrotehničko i računarsko inženjerstvo - Neuralne mreže / Electrical and computer engineering - Neural Networks

Dvadeseti vek je obeležen ekspanzijom u razvoju, priozvodnji i primeni računara i sofisticiranih elektronskih uređaja najrazličitijih namena. Niska cena računara, dostupnost Interneta, stalni razvoj i poboljšanja na nivou pristupne mreže, razvoj servisa koji omogućavaju najširi spektar mogućnosti i obavezno obrazovanje u domenu računarske pismenosti, stvorili su milijarde korisnika na celom svetu. Danas na tržištu postoji izuzetno veliki broj telekomunikacionih korisničkih uređaja i usluga koji se permanentno povećavaju, usložnjavaju i modifikuju. Među velikim brojem korisničkih servisa, korisnicima su na raspolaganju i vrlo sofisticirani multimedijalni servisi koji rade u realnom vremenu i u interakciji sa jednim ili većim brojem drugih korisnika (mogućnost kreiranja i distribucije multimedijalnog sadržaja, streaming audio i video fajlova, video konferencije, četovi, rad sa distribuiranim bazama podataka, itd.). Mobilni uređaji danas omogućavaju realizaciju skoro svih integrisanih korisničkih funkcionalnosti i servisa, koje su do skoro realizovali posebni uređaji. Danas imamo mogućnost prijema TV signala na mobilnim uređajima, pristup web i mail serverima i servisima, pristup specijalizovanim korisničkim servisima i informacijama i sl. Obzirom da je prisutna vrlo aktivna tržišna konkurencija, i da davaoci usluga uvek žele da ponude novi i bolji priozvod, to neminovno dovodi do stalnog razvoja, usavršavanja i primene novih tehnoloških rešenja kod proizvođača. Svi navedeni servisi svoj način rada baziraju na prenosu većeg broja informacija, čime se gustina saobraćaja u komunikacionim mrežama stalno povećava. Savremeni servisi zahtevaju strukturu mreža sa većim propusnim opsezima, većim brojem alternativnih putanja, bržim prenosom, malim kašnjenjem itd. Sa druge strane, korisnici očekuju kvalitetne servise, dostupnost mreže, garancije određenog kvaliteta i brz odziv sistema. Imajući sve ovo u vidu, jasno je da struktura i kvalitet komunikacione mreže moraju permenentno da se povećavaju i poboljšavaju. Pored toga, neophodna je stalna evaluacija uređaja i algoritama za rutiranje, koji mogu da obezbede pouzdanu i kvalitetnu komunikaciju...

Advisors/Committee Members: Reljin, Irini, 1952-.

Subjects/Keywords: Artificial neural networks; Hopfield neural networks; routing algorithms; multicast routing; routing and wavelength assignment; route selection problems; multicriteria optimization

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kojić, Nenad, 1. (2013). Primena neuralnih mreža u rešavanju transportnih problema. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Kojić, Nenad, 1977-. “Primena neuralnih mreža u rešavanju transportnih problema.” 2013. Thesis, Univerzitet u Beogradu. Accessed July 21, 2019. https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Kojić, Nenad, 1977-. “Primena neuralnih mreža u rešavanju transportnih problema.” 2013. Web. 21 Jul 2019.

Vancouver:

Kojić, Nenad 1. Primena neuralnih mreža u rešavanju transportnih problema. [Internet] [Thesis]. Univerzitet u Beogradu; 2013. [cited 2019 Jul 21]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Kojić, Nenad 1. Primena neuralnih mreža u rešavanju transportnih problema. [Thesis]. Univerzitet u Beogradu; 2013. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Kojić Nenad. Application of neural network in solving of transportation problems.

Degree: PhD, Electrical Engineering, 2012, University of Belgrade

The twentieth century has been marked by the expansion and development of new computer applications as well as sophisticated electronic devices for various purposes. Low cost of computer components, Internet availability, continuous development and improvement of the network access, development of services that enable the widest range of options and compulsory education in the field of computer literacy, have generated billions of users worldwide. Nowadays, the market of telecommunications users’ devices and services, is extremely rich and it is constantly increasing, and being modified by more complex applicationes and devices. Among the large number of services, users are offered by highly sophisticated multimedia services that work in real time, interacting with one or more users. They have the oportunity to create and distribute multimedia content, to stream audio and video files, to create video conferences, chats, working with distributed databases, etc. Mobile devices now allow realization of almost all of the integrated users’ service and functionalities, which until recently have been realized by special devices. Today we have the possibility of receiving TV signals on mobile devices, access to web and mail servers and services, as well as access to specialized services and information. Concerning very active market competition, and the fact that providers always want to offer new and better products, continuous development is inevitable, combined with constant improvement and application of new technological solutions. All above mentioned services are based on transfer of large amounts of information, and on that way they are constantly increasing the density of traffic in communication networks. Modern services require network structure with higher bandwidth ranges, larger number of alternative paths, fast transfer, low delays etc. On the other hand, users expect high quality services, fast access to networks, the guarantee of certain quality and quick response systems. Bearing this in mind, it is clear that the structure and quality of communication network permanently needs to grow and improve. In addition, ongoing evaluation of devices and algorithms for routing providing reliable and solid communication is needed.. Today, there are a large number of scientific papers aimed to improve the quality of signal transmission. With the increase of complexity of demands, the need for more sophisticated tools, that can offer better performances exists. One such group of tools is based on application of models and mechanisms that exist in highly intelligent entities, is artificial intelligence. Its special sub-group consists of tools based on the principles of the human brain, in terms of stimulus detection, transmission, storage, and decision-making process. This scientific discipline is realized through artificial neural networks. This dissertation presents capabilities of artificial neural networks, their comparative advantages over standard computing devices, and…

Subjects/Keywords: artificial neural networks; Hopfield neural networks; routing algorithms; multicast routing; routing and wavelength assignment; route selection problems; multicriteria optimization; veštačke neuralne mreže; Hopfield-ova neuralna mreža; algoritmi za rutiranje; multicast rutiranje; rutiranje i dodela talasnih dužina; planiranje putnih trasa; višekriterijumska optimizacija

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nenad, K. (2012). Application of neural network in solving of transportation problems. (Doctoral Dissertation). University of Belgrade. Retrieved from http://dx.doi.org/10.2298/BG20120919KOJIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=235 ; https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=41547791

Chicago Manual of Style (16th Edition):

Nenad, Kojić. “Application of neural network in solving of transportation problems.” 2012. Doctoral Dissertation, University of Belgrade. Accessed July 21, 2019. http://dx.doi.org/10.2298/BG20120919KOJIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=235 ; https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=41547791.

MLA Handbook (7th Edition):

Nenad, Kojić. “Application of neural network in solving of transportation problems.” 2012. Web. 21 Jul 2019.

Vancouver:

Nenad K. Application of neural network in solving of transportation problems. [Internet] [Doctoral dissertation]. University of Belgrade; 2012. [cited 2019 Jul 21]. Available from: http://dx.doi.org/10.2298/BG20120919KOJIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=235 ; https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=41547791.

Council of Science Editors:

Nenad K. Application of neural network in solving of transportation problems. [Doctoral Dissertation]. University of Belgrade; 2012. Available from: http://dx.doi.org/10.2298/BG20120919KOJIC ; http://eteze.bg.ac.rs/application/showtheses?thesesId=235 ; https://fedorabg.bg.ac.rs/fedora/get/o:5502/bdef:Content/get ; http://vbs.rs/scripts/cobiss?command=SEARCH&base=99999&select=ID=41547791

.