论文标题
钢合金的性质预测
Prediction of properties of steel alloys
论文作者
论文摘要
我们根据四个监督机器学习模型进行了对可能的预测变量的研究，以预测主要工业使用钢的四种机械性能。结果是从文献中可用的实验数据库中获得的，该数据库被用作训练和评估模型的输入。
We present a study of possible predictors based on four supervised machine learning models for the prediction of four mechanical properties of the main industrially used steels. The results were obtained from an experimental database available in the literature which were used as input to train and evaluate the models.
