Artificial neural network for predication of zinc consumption rate of cathodic protection of copper in saline water: A short communication
The rate of zinc consumption (anode) for cathodic protection of copper pipeline in saline water is forecasted using artificial neural network (ANN). Zinc consumption rate (input dependent variable) is estimated as a function of temperature, flow rate, time and NaCl concentration (output independent...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-01-01
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| Series: | Results in Chemistry |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2211715622000893 |