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Hybrid modelling for real-time prediction of the sulphur content during ladle furnace steel refining with embedding prior knowledge.
Wu Lv
Zhi Xie
Zhizhong Mao
Ping Yuan
Mingxing Jia
Published in:
Neural Comput. Appl. (2014)
Keyphrases
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real time
prior knowledge
prediction accuracy
low cost
multimedia
control system
prediction algorithm
web content
steel industry
real time systems
bayesian framework
prediction model
prediction error
polynomial neural networks
hybrid learning
digital content
quality of service
domain knowledge
metadata
data sets