Application of Shallow Neural Networks in Electric Arc Furnace Modeling
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Silesian University of Technology, Gliwice, Poland
Funder
Diamond Grant
European Commission
European Social Fund
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/28/9895356/09789173.pdf?arnumber=9789173
Reference31 articles.
1. Application of Long Short-Term Memory Neural Networks for Electric Arc Furnace Modelling
2. Deterministic model of electric arc furnace – a closed form solution
3. Updating stochastic models of arc furnace reactive power by genetic algorithm
4. Characteristic study of three-phase AC electric arc furnace model
5. Research on the fluctuation mechanism of electric arc furnace voltage using chaos theory
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