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

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...

Full description

Bibliographic Details
Main Authors: Luchun Yan, Yupeng Diao, Kewei Gao
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Materials
Subjects:
atmospheric corrosion
low-alloy steel
atmospheric exposure test
feature importance
random forest
machine learning
Online Access:https://www.mdpi.com/1996-1944/13/15/3266

Similar Items

Similar Items