A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor
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| Main Authors: | , |
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
IntechOpen
2011
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| Online Access: | https://www.intechopen.com/chapters/18129 |
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| _version_ | 1839563084208799744 |
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| author | Khalafi, Farshad Faghihi H. Mirvakili, S. M. |
| author_facet | Khalafi, Farshad Faghihi H. Mirvakili, S. M. |
| author_sort | Khalafi, Farshad Faghihi H. |
| collection | InTech Open eBooks |
| description | None |
| doi_str_mv | 10.5772/16521 |
| first_indexed | 2025-08-04T21:47:46Z |
| format | Electronic Book Chapter |
| fullrecord | <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-18129</identifier><datestamp>2011-09-06</datestamp>
<dc:title>A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor</dc:title>
<dc:creator>Farshad Faghihi H. Khalafi</dc:creator>
<dc:creator>S. M. Mirvakili</dc:creator>
<dc:subject>Physical Sciences, Engineering and Technology</dc:subject>
<dc:description>None</dc:description>
<dc:publisher>IntechOpen</dc:publisher>
<dc:date>2011-09-06</dc:date>
<dc:type>Chapter, Part Of Book</dc:type>
<dc:identifier>https://www.intechopen.com/chapters/18129</dc:identifier>
<dc:identifier>doi:10.5772/16521</dc:identifier>
<dc:language>en</dc:language>
<dc:relation>ISBN:978-953-307-506-8</dc:relation>
<dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights>
<dc:source>https://www.intechopen.com/books/475 ; Nuclear Power - System Simulations and Operation</dc:source>
</oai_dc:dc> |
| id | InTech-18129 |
| institution | Matheson Library |
| isbn | 978-953-307-506-8 |
| language | English |
| last_indexed | 2025-08-04T21:47:46Z |
| publishDate | 2011 |
| publisher | IntechOpen |
| record_format | intech |
| spelling | InTech-181292011-09-06 A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor Farshad Faghihi H. Khalafi S. M. Mirvakili Physical Sciences, Engineering and Technology None IntechOpen 2011-09-06 Chapter, Part Of Book https://www.intechopen.com/chapters/18129 doi:10.5772/16521 en ISBN:978-953-307-506-8 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/475 ; Nuclear Power - System Simulations and Operation |
| spellingShingle | Physical Sciences, Engineering and Technology Khalafi, Farshad Faghihi H. Mirvakili, S. M. A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor |
| title | A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor |
| title_full | A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor |
| title_fullStr | A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor |
| title_full_unstemmed | A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor |
| title_short | A Literature Survey of Neutronics and Thermal-Hydraulics Codes for Investigating Reactor Core Parameters; Artificial Neural Networks as the VVER-1000 Core Predictor |
| title_sort | literature survey of neutronics and thermal hydraulics codes for investigating reactor core parameters artificial neural networks as the vver 1000 core predictor |
| topic | Physical Sciences, Engineering and Technology |
| url | https://www.intechopen.com/chapters/18129 |
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