Explainable Steel Quality Prediction System Based on Gradient Boosting Decision Trees
Author:
Affiliation:
1. VTT Technical Research Centre of Finland, Oulu, Finland
2. SSAB Europe Oy, Raahe, Finland
Funder
Model-Based Optimization for Efficient Use of Resources and Energy (MORSE) Project
European Union’s Horizon 2020 Research and Innovation Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09804717.pdf?arnumber=9804717
Reference43 articles.
1. LightGBM: A highly efficient gradient boosting decision tree;ke,0
2. Modelling of slag emulsification and slag reduction in CAS-OB;palviainen,2016
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