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...

Celý popis

Podrobná bibliografie

Vydáno v:	Corrosion science Ročník 228; s. 111779
Hlavní autoři:	Zhang, Haofeng, Wu, Zhiqin, Chen, Yang, Feng, Kaixuan, Yan, Hong, Song, Honggun, Luo, Chao, Hu, Zhi
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2024
Témata:	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
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!