Establishment of an Improved Elman Neural Network Model for Predicting the Corrosion Rate of 3C Steel in Marine Environment and Analysis of the Factors Affecting Model Accuracy
3C steel is a kind of steel commonly used in marine engineering, which will suffer different degrees of corrosion in the marine environment. In the marine environment, there is a complex nonlinear relationship between the corrosion rate and seawater environmental parameters. Based on the experimenta...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
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| Series: | Metals |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2075-4701/15/1/27 |
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