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

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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Bibliographic Details
Main Authors: Wenbo Jin, Zhuo Chen, Wanying Liu, Qing Quan, Zongxiao Ren
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Metals
Subjects:
3C steel
Elman neural network
whale optimization algorithm
influence factor
accuracy comparison
Online Access:https://www.mdpi.com/2075-4701/15/1/27
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