Results
eNauka >
Results >
Comparison of classical statistical methods and artificial neural network in traffic noise prediction
![](https://cdn3.iconfinder.com/data/icons/flat-actions-icons-9/512/Tick_Mark-256.png)
Title: | Comparison of classical statistical methods and artificial neural network in traffic noise prediction | Authors: | Nedić, Vladimir; Despotović, Danijela ![]() ![]() ![]() ![]() ![]() ![]() |
Issue Date: | 2014 | Publication: | Environmental impact assessment review | ISSN: | 0195-9255![]() ![]() |
Publisher: | New York : Elsevier, etc. | Type: | Article | Collation: | vol. 49 str. 24-30 | DOI: | 10.1016/j.eiar.2014.06.004 | WoS-ID: | 000342246600003 | Scopus-ID: | 2-s2.0-84904268330 | VBS COBISS: | 513322332 | URI: | https://plus.cobiss.net/cobiss/sr/sr/bib/513322332#izum.si https://scidar.kg.ac.rs/handle/123456789/12420 https://enauka.gov.rs/handle/123456789/327140 |
Metadata source: | Migracija | M-category: | 21M21 |
![](/image/scopus.png)
SCOPUSTM
![](/image/opencitations.png)
OpenCitations
![](/image/wos.png)
WEB OF SCIENCETM
Altmetric
Dimensions
Unpaywall
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.