A hybrid machine learning approach for improving fuel temperature prediction of research reactors under mix convection regime

A hybrid machine learning approach for improving fuel temperature prediction of research reactors under mix convection regime

Benchmarking results from experiments on research reactors showed that power reactors’ mathematical model produced conservative results in predicting the maximum cladding temperature on hot channels, with the mean difference showing overestimation. This overestimation is an accuracy issue arising fr...

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Bibliographic Details
Main Authors: Riyono, Bambang, Pulungan, Reza, Dharmawan, Andi, Antariksawan, Anhar Riza
Format: Article PeerReviewed
Language:English
Published: Elsevier 2022
Subjects:
Information and Computing Sciences
Mathematics and Applied Sciences
Online Access:https://repository.ugm.ac.id/278595/1/Pulungan_MA.pdf
https://repository.ugm.ac.id/278595/
https://www.sciencedirect.com/journal/results-in-engineering
https://doi.org/10.1016/j.rineng.2022.100612
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Institution: Universitas Gadjah Mada
Language: English

Internet

https://repository.ugm.ac.id/278595/1/Pulungan_MA.pdf
https://repository.ugm.ac.id/278595/
https://www.sciencedirect.com/journal/results-in-engineering
https://doi.org/10.1016/j.rineng.2022.100612

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