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...
| 出版年: | International Journal of Electrical and Computer Engineering |
|---|---|
| 第一著者: | |
| フォーマット: | Review |
| 言語: | English |
| 出版事項: |
Institute of Advanced Engineering and Science
2024
|
| オンライン･アクセス: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85206302595&doi=10.11591%2fijece.v14i6.pp6287-6299&partnerID=40&md5=c3d76256d194d1ffe713db545669a1d9 |