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Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks
| Naziv: | Assessment of water resources system resilience under hazardous events using system dynamic approach and artificial neural networks | Autori: | Stojković, Milan |
Godina: | 2023 | Publikacija: | Journal of Hydroinformatics | ISSN: | 1464-7141 Journal of Hydroinformatics Pretraži identifikator |
Izdavač: | London : IWA Publishing | Tip rezultata: | Naučni članak | Kolacija: | vol. 25 br. 2 str. 208-225 | DOI: | 10.2166/hydro.2023.069 | WoS-ID: | 000919116500001 | Scopus-ID: | 2-s2.0-85158087734 | URI: | https://enauka.gov.rs/handle/123456789/603543 https://grafar.grf.bg.ac.rs/handle/123456789/3040 https://unilib.phaidrabg.rs/o:3382 https://scidar.kg.ac.rs/handle/123456789/16853 |
Projekat: | DyRes_System - Dynamics Resilience As a Measure for Risk Assessment of the Complex Water, Infrastructure and Ecological Systems: Making a Context | M-kategorija: | 22M22 - Međunarodni časopis kategorije M22 |