Show simple item record

Application of artificial neural networks for modelling oxygen parameters of surface water quality

dc.contributor.advisorPocajt, Viktor
dc.contributor.otherRistić, Mirjana
dc.contributor.otherPerić-Grujić, Aleksandra
dc.contributor.otherAntanasijević, Davor
dc.creatorŠiljić Tomić, Aleksandra N.
dc.date.accessioned2018-11-30T16:41:43Z
dc.date.available2018-11-30T16:41:43Z
dc.date.available2020-07-03T09:19:30Z
dc.date.issued2018-09-18
dc.identifier.urihttp://eteze.bg.ac.rs/application/showtheses?thesesId=6244
dc.identifier.urihttp://nardus.mpn.gov.rs/handle/123456789/10227
dc.identifier.urihttps://fedorabg.bg.ac.rs/fedora/get/o:18856/bdef:Content/download
dc.identifier.urihttp://vbs.rs/scripts/cobiss?command=DISPLAY&base=70036&RID=50660623
dc.description.abstractOdrživo korišćenje i očuvanje prirodnih resursa postalo je imperativ modernog društva. Brojni antropogeni uticaji doveli su do pogoršanja kvaliteta slatkovodnih resursa, a naročito vodotokova koji predstavljaju jedan od glavnih izvora vodosnabdevanja. Evropske i nacionalne regulative uslovile su obavezu kontinuiranog praćenja stanja površinskih voda u vidu uspostavljanja i održavanja lokalnih i državnih mreža za monitoring kvaliteta voda, u cilju donošenja odluka zasnovanih na adekvatnim informacijama i pravovremenog reagovanja. U poslednje vreme, često se primenjuju modeli i odgovarajuće simulacione tehnike koje su sposobne da reše nelinearne probleme složenih sistema kao što je predviđanje parametara kvaliteta voda...sr
dc.description.abstractSustainable use and protection of natural resources have become an imperative of modern society. Numerous anthropogenic impacts have brought to deterioration of the quality of freshwater resources, especially watercourses, which represent one of the main water supply sources. European and national regulations have set requirements for continuous monitoring of the state of surface waters by establishing and maintaining local and state water quality monitoring networks, in order to provide adequate and informed decisionmaking as well as timely response. Lately, models and corresponding simulation techniques that are able to solve problems of non-linear complex systems, such as prediction of water quality parameters, are being often applied...en
dc.formatapplication/pdf
dc.languagesr
dc.publisherУниверзитет у Београду, Технолошко-металуршки факултетsr
dc.rightsopenAccessen
dc.sourceУниверзитет у Београдуsr
dc.subjectzagađenje vodesr
dc.subjectwater pollutionen
dc.subjectbiološka potrošnja kiseonikasr
dc.subjectsadržaj rastvorenog kiseonikasr
dc.subjectrečna vodasr
dc.subjectDunavsr
dc.subjectveštačka neuronska mrežasr
dc.subjectoptimizacija modelasr
dc.subjectbiological oxygen demanden
dc.subjectdissolved oxygen contenten
dc.subjectriver wateren
dc.subjectDanubeen
dc.subjectartificial neural networken
dc.subjectmodel optimizationen
dc.titleModelovanje kiseoničnih parametara kvaliteta površinskih voda primenom veštačkih neuronskih mrežasr
dc.title.alternativeApplication of artificial neural networks for modelling oxygen parameters of surface water qualityen
dc.typedoctoralThesisen
dc.rights.licenseBY-NC-ND
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/17219/Disertacija.pdf
dc.identifier.fulltexthttp://nardus.mpn.gov.rs/bitstream/id/17220/IzvestajKomisije18421.pdf


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record