| Issue |
Rev. Met. Paris
Volume 99, Number 10, October 2002
|
|
|---|---|---|
| Page(s) | 839 - 849 | |
| DOI | https://doi.org/10.1051/metal:2002144 | |
| Published online | 12 November 2002 | |
Dynamic modelling of the electric arc furnace process using artificial neural networks
Starting from known linear models for calculating the electric energy required to elaborate a heat in an electric arc furnace, new approaches based on artificial neural networks (ANN), have been studied. The effects of strongly non-linear relations between critical furnace process parameters, and other variables, not taken into account in an equation based model, have been integrated in the ANN models. Both the off-line and on-line use of models based on time series and a new system of interconnected ANNs are described. The on-line model is designed to accurately predict the end of the heat.
© La Revue de Métallurgie, 2002
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