Results
eNauka >
Results >
Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction
| Title: | Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction | Authors: | Šiljić-Tomić, Aleksandra; Antanasijević, Davor  ; Ristić, Mirjana  ; Perić-Grujić, Aleksandra ; Pocajt, Viktor |
Issue Date: | 2018 | Publication: | Environmental Science and Pollution Research | ISSN: | 0944-1344 Environmental Science and Pollution Research Search Idenfier |
Publisher: | Springer Heidelberg, Heidelberg | Type: | Article | Collation: | vol. 25 br. 10 str. 9360-9370 | DOI: | 10.1007/s11356-018-1246-5 | WoS-ID: | 000429561900018 | Scopus-ID: | 2-s2.0-85040763382 | PMID: | 29349736 | URI: | http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4028 https://enauka.gov.rs/handle/123456789/266660 https://TechnoRep.tmf.bg.ac.rs/handle/123456789/4028 |
Project: | Razvoj i primena metoda i materijala za monitoring novih zagađujućih i toksičnih organskih materija i teških metala (RS-172007) | M-category: | 21M21 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.