The ensemble approach in comparison with the diverse feature selection techniques for estimating NPPs parameters using the different learning algorithms of the feed-forward neural network

Several reasons such as no free lunch theorem indicate that there is not a universal Feature selection (FS) technique that outperforms other ones. Moreover, some approaches such as using synthetic dataset, in presence of large number of FS techniques, are very tedious and time consuming task. In thi...

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Veröffentlicht in:	Nuclear engineering and technology Jg. 53; H. 12; S. 3944 - 3951
1. Verfasser:	Moshkbar-Bakhshayesh, Khalil
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.12.2021 Elsevier 한국원자력학회
Schlagworte:	Combination technique Features selection technique Heterogeneous ensemble Parameter estimation Supervised learning algorithm 원자력공학 Heterogeneous ensemble Parameter estimation Combination technique Supervised learning algorithm Features selection technique
ISSN:	1738-5733, 2234-358X
Online-Zugang:	Volltext
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