An artificial neural network model for predicting the CO2 reactivity of carbon anodes used in the primary aluminum production

Author:

Bhattacharyay Dipankar,Kocaefe Duygu,Kocaefe Yasar,Morais Brigitte

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference34 articles.

1. Berezin AI, Polaykov PV, Rodnov OO, Klykov VA, Krylov VL (2002) Improvement of green anodes quality on the basis of the neural network model of the carbon plant workshop. Light Metals 605–608

2. Chmelar J (2006) Size reduction and specification of granular petrol coke with respect to chemical and physical properties. Dissertation, Norwegian University of Science and Technology

3. Milewski J, Świrski K (2009) Modelling the SOFC behaviours by artificial neural network. Int J Hydrogen Energy 34(13):5546–5553

4. Biedler P, Banta L, Dai C, Love R, Tommey C, Berkow J (2002) Development of a state observer for an aluminum reduction cell. Light Metals 1091–1098

5. Meghlaoui A, Bui RT, Thibault J, Tikasz L, Santerre R (1998) Predictive control of aluminum electrolytic cells using neural networks. Metall Mater Trans B 29(5):1007–1019

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