PREDICTION ALUMINUM CORROSION INHIBITOR EFFICIENCY USING SUPPORT VECTOR MACHINES (SVM)

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GHORBANIKALHOR E.; NABAVI S.R.; EBRAHIMI SH.

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Seminar: IRANIAN CHEMISTRY CONGRESS
Year:2013 | Issue:16

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Title

PREDICTION ALUMINUM CORROSION INHIBITOR EFFICIENCY USING SUPPORT VECTOR MACHINES (SVM)

Author(s)

GHORBANIKALHOR E. | NABAVI S.R. | EBRAHIMI SH. | Issue Writer Certificate

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Abstract

IN THIS STUDY, ACTIVITY OF SOME SCHIFF BASES AS ALUMINUM CORROSION INHIBITOR WAS INVESTIGATED USING SUPPORT VECTOR MACHINE (SVM) ALGORITHM [1]. HENCE IN FIRST STEP CORROSION INHIBITOR EFFICIENCY OF SCHIFF BASES (IN ANY TYPE) WERE GATHERED FROM DIFFERENT REFERENCES, THEN THESE MOLECULES WERE DRAWN AND OPTIMIZED IN HYPERCHEM SOFTWARE [2-5]. MOLECULAR DESCRIPTORS GENERATING AND DESCRIPTOR SELECTION WERE FULFILLED BY DRAGON SOFTWARE AND PRINCIPAL COMPONENT ANALYSIS (PCA) METHOD, RESPECTIVELY [6]. THESE STRUCTURAL DESCRIPTORS ALONG WITH ENVIRONMENTAL DESCRIPTORS (AMBIENT TEMPERATURE, TIME OF EXPOSED, PH AND THE CONCENTRATION OF INHIBITOR) WERE USED AS INPUT VARIABLES. ALSO ALUMINUM CORROSION INHIBITOR EFFICIENCY WAS USED AS OUTPUT VARIABLE. EXPERIMENTAL DATA WERE SPLIT INTO TWO SETS: TRAINING SET (FOR MODEL BUILDING) AND SIMULATION SET (FOR MODEL VALIDATION). LINEAR AND NONLINEAR MODELING WERE PERFORMED BY LEAST SQUARES METHODS AND SUPPORT VECTOR MACHINES ALGORITHM, RESPECTIVELY. RESULTS OBTAINED IN LINEAR MODELS SHOWED POOR CORRELATION BETWEEN EXPERIMENTAL AND THEORETICAL DATA. HOWEVER NONLINEAR MODEL PRESENTED ADEQUATE RESULTS. HIGHER CORRELATION COEFFICIENT OF SVM (R>0.9) REVEALED THAT SVM CAN BE SUCCESSFULLY APPLIED FOR PREDICTION OF ALUMINUM CORROSION INHIBITOR EFFICIENCY OF SCHIFF BASES IN DIFFERENT ENVIRONMENTAL CONDITIONS.

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APA: Copy

GHORBANIKALHOR, E., NABAVI, S.R., & EBRAHIMI, SH.. (2013). PREDICTION ALUMINUM CORROSION INHIBITOR EFFICIENCY USING SUPPORT VECTOR MACHINES (SVM). IRANIAN CHEMISTRY CONGRESS. SID. https://sid.ir/paper/913948/en

Vancouver: Copy

GHORBANIKALHOR E., NABAVI S.R., EBRAHIMI SH.. PREDICTION ALUMINUM CORROSION INHIBITOR EFFICIENCY USING SUPPORT VECTOR MACHINES (SVM). 2013. Available from: https://sid.ir/paper/913948/en

IEEE: Copy

E. GHORBANIKALHOR, S.R. NABAVI, and SH. EBRAHIMI, “PREDICTION ALUMINUM CORROSION INHIBITOR EFFICIENCY USING SUPPORT VECTOR MACHINES (SVM),” presented at the IRANIAN CHEMISTRY CONGRESS. 2013, [Online]. Available: https://sid.ir/paper/913948/en

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