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The use of Artificial Neural Network models for CO2 capture plants

Author
SIPOCZ, Nikolett1 ; TOBIESEN, Finn Andrew2 ; ASSADI, Mohsen1
[1] Department of Mechanical Structural Engineering & Material Science, University of Stavanger, 4036 Stavanger, Norway
[2] SINTEF Materials and Chemistry, Department of Process Technology, 7465 Trondheim, Norway
Source

Applied energy. 2011, Vol 88, Num 7, pp 2368-2376, 9 p ; ref : 25 ref

CODEN
APENDX
ISSN
0306-2619
Scientific domain
Energy; Environment
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
ANN CO2 capture Chemical absorption Levenberg-Marquardt Scaled Conjugate Gradient
Keyword (en)
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D04 Installations for energy generation and conversion: thermal and electrical energy. / 001D06D04C Thermal power plants

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D06 Energy / 001D06D Energy. Thermal use of fuels / 001D06D11 Air pollution caused by fuel industries / 001D06D11E Pollution reduction / 001D06D11E4 Stack gas and industrial effluent processing

Discipline
Energy
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
23976408

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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