Estimation of steel guitar strings corrosion by artificial neural network

Rolich, Tomislav and Rezić, Iva and Ćurković, Lidija (2010) Estimation of steel guitar strings corrosion by artificial neural network. = Estimation of steel guitar strings corrosion by artificial neural network. Corrosion Science, 52 (3). pp. 996-1002. ISSN 0010-938X. Vrsta rada: ["eprint_fieldopt_article_type_article" not defined]. Kvartili JCR: Q1 (2010). Točan broj autora: 3.

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Abstract

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. © 2009 Elsevier Ltd. All rights reserved.

Item Type: Article (["eprint_fieldopt_article_type_article" not defined])
Keywords (Croatian): A: Alloy; Appropriate models; Artificial Neural Network; Artificial sweat solution; B: AES; Correlation coefficient; Corrosion of steel; Corrosion process; Mean absolute error; Measured data; Output values; Corrosion; Martensitic stainless steel; Neural networks
Subjects: NATURAL SCIENCES > Chemistry
TECHNICAL SCIENCE > Chemical engineering
TECHNICAL SCIENCE > Computing
Divisions: 1000 Department of Materials > 1010 Chair of Materials and Tribology
Indexed in Web of Science: Yes
Indexed in Current Contents: Yes
Citations JCR: 11 (29.6.2015.)
Quartiles: Q1 (2010)
Citations SCOPUS: 11 (29.6.2015.)
Date Deposited: 10 Apr 2015 13:02
Last Modified: 25 Aug 2015 11:22
URI: http://repozitorij.fsb.hr/id/eprint/3709

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