Development of an Artificial Intelligence System for Optimizing the High-Temperature Metallurgical Properties of Coke
This paper proposes an artificial-intelligence-based decision-support approach for selecting coal-blend grade compositions used in metallurgical coke production. The method combines a previously developed artificial neural network, which predicts the coke reactivity index (CRI) from the percentage shares of ten coal gr...