Development of an Artificial Neural Network to Predict Sulphide Capacities of CaO–SiO2–Al2O3–MgO Slag System
ISIJ International- Japan
doi 10.2355/isijinternational.isijint-2016-368
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Date
January 1, 2017
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Iron and Steel Institute of Japan