Critical thermal shock temperature prediction of alumina using improved hybrid models based on artificial neural networks and Shannon entropy

Critical thermal shock temperature prediction of alumina using improved hybrid models based on artificial neural networks and Shannon entropy

This study investigates the potential of a simple and Hybrid artificial neural network (ANN) to predict dense alumina's critical thermal shock temperature (ΔTc). The predictive models have been constructed using two ANNS models (M1, M2). In the first model (M1), elaboration, physical and mechan...

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Bibliographic Details
Main Authors: B. Fissah, H. Belghalem, M. Djeddou, B. Mamen
Format: Article
Language:English
Published: Universiti Malaysia Pahang Publishing 2022-06-01
Series:Journal of Mechanical Engineering and Sciences
Subjects:
alumina
artificial neural network
shannon entropy
thermal shock
Online Access:https://journal.ump.edu.my/jmes/article/view/6547

Internet

https://journal.ump.edu.my/jmes/article/view/6547

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