Prediction and Knowledge Mining of Outdoor Atmospheric Corrosion Rates of Low Alloy Steels Based on the Random Forests Approach

The objective of this paper is to develop an approach to forecast the outdoor atmospheric corrosion rate of low alloy steels and do corrosion-knowledge mining by using a Random Forests algorithm as a mining tool. We collected the corrosion data of 17 low alloy steels under 6 atmospheric corrosion te...

Full description

Bibliographic Details
Main Authors: Yuanjie Zhi, Dongmei Fu, Dawei Zhang, Tao Yang, Xiaogang Li
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Metals
Subjects:
Online Access:https://www.mdpi.com/2075-4701/9/3/383

Similar Items