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Estimating Pitting Corrosion Depth and Density on Carbon Steel (C-4130) using Artificial Neural Networks
Author(s) -
Rusul khalid Al hamad,
Nawal J. Hammadi
Publication year - 2022
Publication title -
journal of engineering
Language(s) - English
Resource type - Journals
eISSN - 2520-3339
pISSN - 1726-4073
DOI - 10.31026/j.eng.2022.05.02
Subject(s) - pitting corrosion , corrosion , materials science , carbon steel , chloride , metallurgy , artificial neural network , ferric , correlation coefficient , artificial intelligence , computer science , machine learning

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