A hybrid machine learning approach for improving fuel temperature prediction of research reactors under mix convection regime-Reference-Cited by-同舟云学术

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

Published:2022-09 Issue: Volume:15 Page:100612
ISSN:2590-1230
Container-title:Results in Engineering
language:en
Short-container-title:Results in Engineering

Author:

Riyono Bambang,Pulungan Reza^ORCID,Dharmawan Andi,Antariksawan Anhar Riza

Publisher

Elsevier BV

Subject

General Engineering

Reference34 articles.

1. Safety of Research Reactors,2016

2. Operational Limits and Conditions and Operating Procedures for Research Reactors,2008

3. Preliminary Accident Analysis for a Conceptual Design of a 10MW Multi-Purpose Research Reactor, JAEA-Technology 2012-039;Park,2013

4. International benchmark study of advanced thermal hydraulic safety analysis codes against measurements on IEA-R1 research reactor;Hainoun;Nucl. Eng. Des.,2014

5. A comparative assessment of independent thermal-hydraulic models for research reactors: the RSG-GAS case;Chatzidakis;Nucl. Eng. Des.,2014

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