Results
eNauka >
Rezultati >
Optimizing ethylene plant utilities via hybrid artificial neural network and first-principles modeling
| Naziv: | Optimizing ethylene plant utilities via hybrid artificial neural network and first-principles modeling | Autori: | Miladinovic, Aleksa; Kijevcanin, Mirjana Lj |
Godina: | 2026 | Publikacija: | JOURNAL OF THE SERBIAN CHEMICAL SOCIETY | ISSN: | 0352-5139 Journal of the Serbian Chemical Society Pretraži identifikator |
Tip rezultata: | Naučni članak | Kolacija: | br. 00 str. 90-90 | DOI : | 10.2298/JSC250917090M | WoS-ID : | 001703693700001 | Scopus-ID : | 2-s2.0-105033417159 | URI: | https://enauka.gov.rs/handle/123456789/1033348 https://TechnoRep.tmf.bg.ac.rs/handle/123456789/8864 |
Projekat: | Ministry of Science, Technological Development and Innovation of Republic of Serbia [451-03--136/2025-03/200026, 451-03-136/2025-03/200135] | Izvor metapodataka: | (Preuzeto iz Nasi u WoS) | M-kategorija: | 23M23 - Međunarodni časopis kategorije M23 |
Items in eNauka are protected by copyright, with all rights reserved, unless otherwise indicated.