Results
eNauka >
Results >
Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River
| Title: | Multilevel split of high-dimensional water quality data using artificial neural networks for the prediction of dissolved oxygen in the Danube River | Authors: | Antanasijević, Davor  ; Pocajt, Viktor  ; Perić-Grujić, Aleksandra ; Ristić, Mirjana |
Issue Date: | 2020 | Publication: | Neural Computing & Applications | ISSN: | 0941-0643 Neural Computing and Applications Search Idenfier |
Publisher: | Springer London Ltd, London | Type: | Article | Collation: | vol. 32 br. 8 str. 3957-3966 | DOI: | 10.1007/s00521-019-04079-y | WoS-ID: | 000524416400061 | Scopus-ID: | 2-s2.0-85062026994 | URI: | https://enauka.gov.rs/handle/123456789/355898 http://TechnoRep.tmf.bg.ac.rs/handle/123456789/4574 |
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.