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Conference papers
Energy Threshold Detection in Neutronic Signal by Automatic Classification and Linear Programming
Abstract : It is proposed in this paper the automatic detection thresholds in the neutronic noise from a nuclear reactor chamber. The proposed method combines a pattern recognition algorithm, known as dynamic cluster and a linear programming algorithm. Euclidean distance, often adopted by default, in the dynamic cluster algorithm; is here replaced by the distance L 1 , also called least absolute deviations (LAD).
Cited literature [6 references]
https://hal-cnam.archives-ouvertes.fr/hal-02464414
Contributor : Luan Jaupi <>
Submitted on : Tuesday, February 11, 2020 - 9:19:54 PM
Last modification on : Wednesday, February 12, 2020 - 10:42:12 AM
Document(s) archivé(s) le : Tuesday, May 12, 2020 - 4:10:47 PM
Contributor : Luan Jaupi <>
Submitted on : Tuesday, February 11, 2020 - 9:19:54 PM
Last modification on : Wednesday, February 12, 2020 - 10:42:12 AM
Document(s) archivé(s) le : Tuesday, May 12, 2020 - 4:10:47 PM
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WCE2015_pp86-89.pdf
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