State of the art in applications of machine learning in steelmaking process modeling

A Fast Learning Algorithm for Deep Belief Nets

Geoffrey E. Hinton, Simon Osindero, Yee‐Whye Teh · Neural Computation · 2006 · 16.4K citations

Computing, Computer Science, Artificial Intelligence +16

Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches

Agnar Aamodt, Enric Plaza · AI Communications · 1994 · 5.5K citations

Computing, Computer Science, Knowledge Representation +12

Big data preprocessing: methods and prospects

Salvador García, Sergio Ramírez‐Gallego, Julián Luengo et al. · Big Data Analytics · 2016 · 696 citations · Full text

Computing, Computer Science, Big Data Analytics +13

Prediction model of end-point phosphorus content in BOF steelmaking process based on PCA and BP neural network

Fei He, Lingying Zhang · Journal of Process Control · 2018 · 192 citations

Engineering, Chemical Engineering, Machine Learning +6

An Ensemble ELM Based on Modified AdaBoost.RT Algorithm for Predicting the Temperature of Molten Steel in Ladle Furnace

Zhizhong Mao · IEEE Transactions on Automation Science and Engineering · 2009 · 175 citations

Computing, Computer Science, Industrial Engineering +17