Analysis of Environmental Factors Affecting the Atmospheric Corrosion Rate of Low-Alloy Steel Using Random Forest-Based Models

As one of the factors (e.g., material properties, surface quality, etc.) influencing the corrosion processes, researchers have always been exploring the role of environmental factors to understand the mechanism of atmospheric corrosion. This study proposes a random forest algorithm-based modeling me...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Materials 2020-07, Vol.13 (15), p.3266
Hauptverfasser:	Yan, Luchun, Diao, Yupeng, Gao, Kewei
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atmospheric corrosion Atmospheric models Chemical composition Corrosion environments Corrosion mechanisms Corrosion rate Corrosion resistance Corrosion resistant alloys Corrosion resistant steels Corrosion tests Datasets Decision trees Low alloy steels Machine learning Material properties Regression analysis Researchers Steel Surface properties
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!