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

Aidong Hou, Shengli Jin, Dietmar Gruber, Harald Harmuth

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Original languageEnglish
Title of host publication2022 International Joint Conference on Neural Networks, IJCNN 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers
ISBN (Electronic)9781728186719
DOIs
Publication statusPublished - 2022
Event2022 International Joint Conference on Neural Networks, IJCNN 2022 - Padua, Italy
Duration: 18 Jul 202223 Jul 2022

Publication series

NameProceedings of the International Joint Conference on Neural Networks
Volume2022-July

Conference

Conference2022 International Joint Conference on Neural Networks, IJCNN 2022
Country/TerritoryItaly
CityPadua
Period18/07/2223/07/22

Bibliographical 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:
© 2022 IEEE.

Keywords

  • artificial neural network
  • refractory lining
  • steel ladle
  • thermomechanical behavior

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