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Titlebook: Superphenix; Technical and Scient Joel Guidez,Gérard Prêle Book 2017 Atlantis Press and the author(s) 2017 Energy.Nuclear.Sodium.Fast breed

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书目名称Superphenix
副标题Technical and Scient
编辑Joel Guidez,Gérard Prêle
视频videohttp://file.papertrans.cn/882/881902/881902.mp4
概述Only book describing the scientific, technological and day-to-day management expertise gained with building and operating Superphenix, a French nuclear power plant.Thematic chapters help the reader to
图书封面Titlebook: Superphenix; Technical and Scient Joel Guidez,Gérard Prêle Book 2017 Atlantis Press and the author(s) 2017 Energy.Nuclear.Sodium.Fast breed
描述For the first time a book has been written on the technological and scientific knowledge, acquired during, buiding , operation and even dismantling of the Superphenix plant. This reactor remains today the most powerful sodium fast breeder reactor operated in the world.(1200 MWe). The last fast breeder reactor operated in the world is BN 800 in Russia that reached his nominal power (800 MWe) in 2016. .Joel Guidez began his career in the field of sodium-cooled fast reactors after leaving Ecole Centrale-Paris, in 1973. He has held various positions at Cadarache, Phenix and Superphenix, including as the head of the thermal hydraulic laboratory conducting tests for Phenix, Superphenix and the EFR European Fast Reactor project. He was also head of the OSIRIS research reactor, located at SACLAY, and of the HFR European Commission reactor, located in the Netherlands and spent two years as nuclear attaché at the French embassyin Berlin. His 2012 book “Phenix: the experience feedback” was translated into English and republished in 2013, and this new book on Superphenix is in the same spirit of thematic analysis of a reactor experience feedback..Gérard Prêle graduated from the Ecole Centrale-
出版日期Book 2017
关键词Energy; Nuclear; Sodium; Fast breeder; Reactor
版次1
doihttps://doi.org/10.2991/978-94-6239-246-5
isbn_ebook978-94-6239-246-5
copyrightAtlantis Press and the author(s) 2017
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书目名称Superphenix影响因子(影响力)




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书目名称Superphenix被引频次学科排名




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书目名称Superphenix读者反馈学科排名




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Joël Guidez,Gérard Prêlestive clustering module to separate the feature representations of each class during the training phase. We set an uncertainty-based unknown identifier at the inference phase to enhance the generalization of the detector. We conduct experiments on three different data splits, and our method outperfo
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Joël Guidez,Gérard Prêleinvestigations. We applied two algorithms for feature selection namely, Recursive feature elimination and Fuzzy Rough feature selection. Additionally, various algorithms such as Support Vector Machine (SVM), Naïve Bayes, Decision Tree (J48), Logistic Regression, and Rough Set theory were used for cl
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Joël Guidez,Gérard Prêlee similar with respect to their characteristics and challenges regarding a lack of information. Hence, a discussion of their relationship could be mutually beneficial. Therefore, the objective of our paper is to provide a rough set perspective on extensive form games with imperfect and incomplete in
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