Modeling of steelmaking process with effective machine learning techniques

作者：

Highlights：

• Machine learning methods on open-hearth steel making process prediction.

• Predicted yield based on 4 machine learning methods has very low errors.

• Best performance is achieved by SVR.

摘要

•Machine learning methods on open-hearth steel making process prediction.•Predicted yield based on 4 machine learning methods has very low errors.•Best performance is achieved by SVR.

论文关键词：Steelmaking process,Modeling,Prediction,Random forests,Support vector regression,Artificial neural networks,Dynamic evolving neural-fuzzy inference system,5-Fold cross validation

论文评审过程：Available online 30 January 2015.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.01.030