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

• المؤلفون الرئيسيون: Riyono, Bambang, Pulungan, Reza, Dharmawan, Andi, Antariksawan, Anhar Riza
• التنسيق: مقال PeerReviewed
• اللغة: English
• منشور في: Elsevier 2022
• الموضوعات: Information and Computing Sciences; Mathematics and Applied Sciences
• الوصول للمادة أونلاين: 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

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...