Pregled bibliografske jedinice broj: 443046
Estimation of Steel Guitar Strings Corrosion by Artificial Neural Network
Estimation of Steel Guitar Strings Corrosion by Artificial Neural Network // Corrosion science, 52 (2010), 3; 996-1002 doi:10.1016/j.corsci.2009.11.024 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 443046 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Estimation of Steel Guitar Strings Corrosion by Artificial Neural Network
Autori
Rolich, Tomislav ; Rezić, Iva ; Ćurković, Lidija
Izvornik
Corrosion science (0010-938X) 52
(2010), 3;
996-1002
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
alloy; AES; corrosion
Sažetak
The purpose of this work was to estimate the corrosion of steel guitar strings in the artificial sweat solution by applying artificial neural network (ANN). Measurements were conducted during 1, 2, 3 and 4 weeks. The results were used for training the most appropriate model of ANN. For evaluating the method efficiency, the comparison between measured data has been compared to values estimated by ANN. The high correlation coefficient and low mean absolute error between measured and estimated output values were observed. Therefore it can be concluded that ANN are promising tool for estimation of corrosion processes.
Izvorni jezik
Engleski
Znanstvena područja
Kemija, Kemijsko inženjerstvo, Računarstvo
POVEZANOST RADA
Projekti:
117-0000000-3254 - Evolucijski algoritmi za optimiranje elektromagnetskog opterećenja okoliša (Grundler, Darko, MZOS ) ( CroRIS)
117-1171419-1382 - Etika i ekologija u oplemenjivanju i njezi tekstila (Soljačić, Ivo, MZOS ) ( CroRIS)
120-1201833-1789 - Istraživanje strukture i svojstava tehničke keramike i keramičkih prevlaka (Ćurković, Lidija, MZOS ) ( CroRIS)
Ustanove:
Tekstilno-tehnološki fakultet, Zagreb,
Fakultet strojarstva i brodogradnje, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus