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Prediction aluminum corrosion inhibitor efficiency using artificial neural network (ANN)
Author(s) -
Sh Ebrahimi,
Elham Kalhor,
Seyed Reza Nabavi,
L Alamiparvin,
R Pogaku
Publication year - 2016
Publication title -
iop conference series. earth and environmental science
Language(s) - Uncategorized
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/36/1/012011
Subject(s) - artificial neural network , principal component analysis , corrosion , biological system , correlation coefficient , quantitative structure–activity relationship , molecular descriptor , linear regression , principal component regression , aluminium , nonlinear system , corrosion inhibitor , computer science , artificial intelligence , materials science , machine learning , metallurgy , physics , quantum mechanics , biology

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