Artificial Neural Network Modeling For Al-Zn-Sn Sacrificial Anode Protection Of Low Carbon Steel In Saline Media

Abstract This work presents the artificial neural network(ANN) modeling for sacrificial anode cathodic protection of low carbon steel using Al-Zn-Sn alloys anodes in saline media. Corrosion experiments were used to obtain data for developing a neural network model. The Feed forward Levenberg-Marquadt training algorithm with passive time, pH, conductivity,% metallic composition used in the input layer and the corrosion potential measured against a silver/silver chloride(Ag/AgCl) reference electrode used as the target or output variable. The modeling results obtained show that the network with 4 neurons in the input layer, 10 neurons in the hidden layer and 1 neuron in the output layer had a high correlation coefficient (R-value) of 0.850602 for the test data, and a low mean square error (MSE) of 0.0261294. 9

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APA

Oluwole*, O (2021). Artificial Neural Network Modeling For Al-Zn-Sn Sacrificial Anode Protection Of Low Carbon Steel In Saline Media. Afribary. Retrieved from https://tracking.afribary.com/works/artificial-neural-network-modeling-for-al-zn-sn-sacrificial-anode-protection-of-low-carbon-steel-in-saline-media

MLA 8th

Oluwole*, O. "Artificial Neural Network Modeling For Al-Zn-Sn Sacrificial Anode Protection Of Low Carbon Steel In Saline Media" Afribary. Afribary, 03 Apr. 2021, https://tracking.afribary.com/works/artificial-neural-network-modeling-for-al-zn-sn-sacrificial-anode-protection-of-low-carbon-steel-in-saline-media. Accessed 14 Nov. 2024.

MLA7

Oluwole*, O. . "Artificial Neural Network Modeling For Al-Zn-Sn Sacrificial Anode Protection Of Low Carbon Steel In Saline Media". Afribary, Afribary, 03 Apr. 2021. Web. 14 Nov. 2024. < https://tracking.afribary.com/works/artificial-neural-network-modeling-for-al-zn-sn-sacrificial-anode-protection-of-low-carbon-steel-in-saline-media >.

Chicago

Oluwole*, O. . "Artificial Neural Network Modeling For Al-Zn-Sn Sacrificial Anode Protection Of Low Carbon Steel In Saline Media" Afribary (2021). Accessed November 14, 2024. https://tracking.afribary.com/works/artificial-neural-network-modeling-for-al-zn-sn-sacrificial-anode-protection-of-low-carbon-steel-in-saline-media

Document Details
O. Oluwole* Field: Mechanical Engineering Type: Paper 4 PAGES (2170 WORDS) (pdf)