It is well-documented how artificial intelligence can have (and already is having) a big
impact on chemical engineering. But classical machine learning approaches may be weak …

The requirement for intelligent steelmaking has underlined the significance of data-driven
predictions of molten steel temperature in ladle furnace. Recently, predictors based on …

This article presents a hybrid model for predicting the temperature of molten steel in a ladle
furnace (LF). Unique to the proposed hybrid prediction model is that its neural network …

The accurate prediction of molten steel temperature is of great significance to the control of
tapping temperature in ladle furnace. The more accurate the prediction is the better …

This study addresses the prediction inaccuracy and poor adaptability of conventional
temperature prediction models for ladle furnace refining. The historical production data of a …

Abstract The Online Soft Computing Models (OSCMs) based on ensemble methods are
novel and quite effective data-driven tools for predicting key variables. The current challenge …

In order to make the dynamic prediction of rolling bearings reliability, original signals were
grouped and the gray confidence level of each sample relative to the intrinsic sample was …