OPTIMIZATION OF LEARNING ALGORITHMS IN THE PREDICTION OF PITTING CORROSION

This work is part of a scientific research program whose objective is to prevent pitting corrosion of an open cooling circuit of a nuclear installation. Various corrosion inhibitors have been studied. The performances of pitting corrosion inhibition were discussed and compared on the basis of severa...

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Bibliographic Details
Main Authors:	Y. BOUKHARI, M. N. BOUCHERIT, M. ZAABAT, S. AMZERT, K. BRAHIMI
Format:	Article
Language:	English
Published:	Taylor's University 2018-05-01
Series:	Journal of Engineering Science and Technology
Subjects:	Genetic Algorithm-Artificial Neural Network (GA-ANN) Least squares support vector machine (LS-SVM) Regression tree (RT) K Nearest neighbor (KNN) Pitting potential (Epit) Inorganic inhibitors
Online Access:	http://jestec.taylors.edu.my/Vol%2013%20issue%205%20May%202018/13_5_2.pdf

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http://jestec.taylors.edu.my/Vol%2013%20issue%205%20May%202018/13_5_2.pdf

OPTIMIZATION OF LEARNING ALGORITHMS IN THE PREDICTION OF PITTING CORROSION

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