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Estimation of Steel Guitar Strings Corrosion by Artificial Neural Network


Rolich, Tomislav; Rezić, Iva; Ćurković, Lidija
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)


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


Projekt / tema
117-0000000-3254 - Evolucijski algoritmi za optimiranje elektromagnetskog opterećenja okoliša (Darko Grundler, )
117-1171419-1382 - Etika i ekologija u oplemenjivanju i njezi tekstila (Ivo Soljačić, )
120-1201833-1789 - Istraživanje strukture i svojstava tehničke keramike i keramičkih prevlaka (Lidija Ćurković, )

Ustanove
Tekstilno-tehnološki fakultet, Zagreb,
Fakultet strojarstva i brodogradnje, Zagreb

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


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