材料研究中的可解释机器学习

王冠杰, 刘盛咸, 周健, 孙志梅

Explainable Machine Learning in the Research of Materials Science

WANG Guanjie, LIU Shengxian, ZHOU Jian, SUN Zhimei

图5 K近邻算法在材料分类问题中的训练流程[86]

Fig.5 Training process of K nearest neighbor algorithm in material classification problem[86] (M—martensite, F—ferrite, B—bainite, RA—retained austenite, C—carbide, K-NN—K nearest neighbors, SMOTE—synthetic minority overbalancing technique)