Endpoint Prediction of BOF Steelmaking based on BP Neural Network Combined with Improved PSO
This paper concerns the endpoint estimation of the basic oxygen furnace (BOF) steel making process. More specifically, a back propagation (BP) neural network is employed to estimate the endpoint carbon content and the endpoint temperature of BOF, and an improved particle swarm optimization (PSO) alg...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIDIC Servizi S.r.l.
2016-08-01
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| Series: | Chemical Engineering Transactions |
| Online Access: | https://www.cetjournal.it/index.php/cet/article/view/3944 |