Temperature prediction of the molten salt collector tube using BP neural network (Englisch)
Freier Zugriff
- Neue Suche nach: Ren, Ting
- Neue Suche nach: Liu, Shi
- Neue Suche nach: Yan, Gaocheng
- Neue Suche nach: Mu, Huaiping
- Neue Suche nach: Ren, Ting
- Neue Suche nach: Liu, Shi
- Neue Suche nach: Yan, Gaocheng
- Neue Suche nach: Mu, Huaiping
In:
IET Renewable Power Generation
;
10
, 2
;
212-220
;
2016
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Temperature prediction of the molten salt collector tube using BP neural network
-
Beteiligte:Ren, Ting ( Autor:in ) / Liu, Shi ( Autor:in ) / Yan, Gaocheng ( Autor:in ) / Mu, Huaiping ( Autor:in )
-
Erschienen in:IET Renewable Power Generation ; 10, 2 ; 212-220
-
Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:01.02.2016
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Format / Umfang:9 pages
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ISSN:
-
DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:power generation economics , backpropagation , BP neural network , outlet highest temperature , molten salt collector tube , tube wall , boundary conditions , solar power tower system , computational fluid dynamics prediction method , receiver , computational fluid dynamics , solar power stations , power generation cost , neural nets , pipes , temperature prediction , backpropagation neural network method , numerical simulation , thermal physical parameters , power engineering computing , outlet mean temperature , temperature measurement , solar absorber-convertors
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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