Artificial neural network and response surface methodology for optimization of corrosion inhibition of mild steel in 1 M HCl by Musa paradisiaca peel extract
Olusola Solomon Amodu, Moradeyo O. Odunlami, Joseph T. Akintola, Tunde V. Ojumu, Olushola S. Ayanda
Abstract
was obtained as 95.78 and 98.86 for RSM and ANN, respectively. Both RSM and ANN have demonstrated to be robust optimization techniques; particularly, ANN was found to give a good prediction of the available small dataset.
Topics & Concepts
Response surface methodologyCentral composite designMusa × paradisiacaChemistryCorrosionHydrogenNuclear chemistryAnalytical Chemistry (journal)Materials scienceChromatographyFood scienceOrganic chemistryCorrosion Behavior and InhibitionConcrete Corrosion and DurabilityHydrogen embrittlement and corrosion behaviors in metals