Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings

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Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. / Hou, Aidong; Jin, Shengli; Gruber, Dietmar et al.
2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. Institute of Electrical and Electronics Engineers, 2022. (Proceedings of the International Joint Conference on Neural Networks; Band 2022-July).

Publikationen: Beitrag in Buch/Bericht/Konferenzband › Beitrag in Konferenzband

Harvard

Hou, A, Jin, S, Gruber, D & Harmuth, H 2022, Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. in 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. Proceedings of the International Joint Conference on Neural Networks, Bd. 2022-July, Institute of Electrical and Electronics Engineers, 2022 International Joint Conference on Neural Networks, IJCNN 2022, Padua, Italien, 18/07/22. https://doi.org/10.1109/IJCNN55064.2022.9891901

APA

Hou, A., Jin, S., Gruber, D., & Harmuth, H. (2022). Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. In 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings (Proceedings of the International Joint Conference on Neural Networks; Band 2022-July). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/IJCNN55064.2022.9891901

Vancouver

Hou A, Jin S, Gruber D, Harmuth H. Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. in 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. Institute of Electrical and Electronics Engineers. 2022. (Proceedings of the International Joint Conference on Neural Networks). doi: 10.1109/IJCNN55064.2022.9891901

Author

Hou, Aidong ; Jin, Shengli ; Gruber, Dietmar et al. / Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings. 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings. Institute of Electrical and Electronics Engineers, 2022. (Proceedings of the International Joint Conference on Neural Networks).

Bibtex - Download

@inproceedings{776ab32c68c34ee7b1ed8965837e576f,
title = "Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings",
keywords = "artificial neural network, refractory lining, steel ladle, thermomechanical behavior",
author = "Aidong Hou and Shengli Jin and Dietmar Gruber and Harald Harmuth",
note = "Funding Information: The Competence Center for Excellent Technologies research programme in “Advanced Metallurgical and Environmental Process Development” (K1-MET) is supported by the Austrian Competence Centre Programme COMET (Competence Center for Excellent Technologies) with funds from the Federal Ministry for Transport, Innovation and Technology, the Federal Ministry of Economy, the provinces of Upper Austria and Styria, the Styrian Business Promotion Agency, and the Tyrolian Future Foundation. Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Joint Conference on Neural Networks, IJCNN 2022 ; Conference date: 18-07-2022 Through 23-07-2022",
year = "2022",
doi = "10.1109/IJCNN55064.2022.9891901",
language = "English",
series = "Proceedings of the International Joint Conference on Neural Networks",
publisher = "Institute of Electrical and Electronics Engineers",
booktitle = "2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings",
address = "United States",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Application of Artificial Neural Network to Predict the Thermal and Thermomechanical Behavior of Refractory Linings

AU - Hou, Aidong

AU - Jin, Shengli

AU - Gruber, Dietmar

AU - Harmuth, Harald

N1 - Funding Information: The Competence Center for Excellent Technologies research programme in “Advanced Metallurgical and Environmental Process Development” (K1-MET) is supported by the Austrian Competence Centre Programme COMET (Competence Center for Excellent Technologies) with funds from the Federal Ministry for Transport, Innovation and Technology, the Federal Ministry of Economy, the provinces of Upper Austria and Styria, the Styrian Business Promotion Agency, and the Tyrolian Future Foundation. Publisher Copyright: © 2022 IEEE.

PY - 2022

Y1 - 2022

KW - artificial neural network

KW - refractory lining

KW - steel ladle

KW - thermomechanical behavior

UR - http://www.scopus.com/inward/record.url?scp=85140737442&partnerID=8YFLogxK

U2 - 10.1109/IJCNN55064.2022.9891901

DO - 10.1109/IJCNN55064.2022.9891901

M3 - Conference contribution

AN - SCOPUS:85140737442

T3 - Proceedings of the International Joint Conference on Neural Networks

BT - 2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers

T2 - 2022 International Joint Conference on Neural Networks, IJCNN 2022

Y2 - 18 July 2022 through 23 July 2022

ER -

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