Real-time monitoring of the corrosion behaviour of the 304SS in HCl solution using BPNN with joint image recognition and electrochemical noise

Electrochemical noise has an important reference role in the study of early corrosion; however, a direct correlation between the microscopic morphology and the electrochemical noise of the corrosion process is lacking. This study uses a back propagation artificial neural network (BPNN) optimized by...

Full description

Bibliographic Details

Published in:	Corrosion science Vol. 228; p. 111779
Main Authors:	Zhang, Haofeng, Wu, Zhiqin, Chen, Yang, Feng, Kaixuan, Yan, Hong, Song, Honggun, Luo, Chao, Hu, Zhi
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.03.2024
Subjects:	304SS Artificial Neural Networks Electrochemical noise In-situ observation Intelligent optimization algorithm Localized corrosion Electrochemical noise Localized corrosion 304SS Artificial Neural Networks In-situ observation Intelligent optimization algorithm
ISSN:	0010-938X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!