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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Main Authors:	Riyono, Bambang, Pulungan, Reza, Dharmawan, Andi, Antariksawan, Anhar Riza
格式:	Article PeerReviewed
語言:	English
出版:	Elsevier 2022
主題:	Information and Computing Sciences Mathematics and Applied Sciences
在線閱讀:	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
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Universitas Gadjah Mada
語言:	English

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