Electrochemical evaluation of an Acanthocereus tetragonus aqueous extract on aluminum in NaCl (0.6 M) and HCl (1 M) and its modelling using forward and inverse artificial neural networks

Henevith G. Mendez-Figueroa,Sebastian Ossandon,Jose Arturo Ramirez Fernandez,Ricardo Galvan Martinez,Araceli Espinoza Vazquez,Ricardo Orozco-Cruz

SSRN Electronic Journal（2022）

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摘要

•Acanthocereus tetragonus aqueous extract was evaluated in acidic and neutral media as a corrosion inhibitor.•Forward ANNs were trained with two Aluminum electrochemical evaluations databases.•Larger databases were calculated from Forward ANNs.•Inverse ANNs (IANNs) were trained with the large databases.•Time and concentration of the Acanthocereus tetragonus extract were found from optimal IANNs.

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Aluminum,Green corrosion inhibitor,pH,Artificial Neural Networks,Forward problems,Inverse problems

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