Optimal efficiency on nuclear reactor secondary cooling process using machine learning model
This review delves into the quest for optimal efficiency in the secondary cooling process of nuclear reactor water plant coolant systems. Modeling secondary cooling nuclear processes is hardly performed. Thus, Neural networks with traditional statistical methodologies are integrated to innovate a hy...
| Published in: | International Journal of Electrical and Computer Engineering |
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| Main Author: | |
| Format: | Review |
| Language: | English |
| Published: |
Institute of Advanced Engineering and Science
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206302595&doi=10.11591%2fijece.v14i6.pp6287-6299&partnerID=40&md5=c3d76256d194d1ffe713db545669a1d9 |