The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements
The geometry of uranium components is one of the key characteristics and strictly confidential. The geometry identification of metal uranium components was studied using 252Cf source-driven correlation measurement method. For the 3 uranium samples with the same mass and enrichment, there are subtle...
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Science and Technology of Nuclear Installations |
| Online Access: | http://dx.doi.org/10.1155/2018/9126824 |
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| _version_ | 1832555925483814912 |
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| author | Mi Zhou Peng Feng Yixin Liu Biao Wei |
| author_facet | Mi Zhou Peng Feng Yixin Liu Biao Wei |
| author_sort | Mi Zhou |
| collection | DOAJ |
| description | The geometry of uranium components is one of the key characteristics and strictly confidential. The geometry identification of metal uranium components was studied using 252Cf source-driven correlation measurement method. For the 3 uranium samples with the same mass and enrichment, there are subtle differences in neutron signals. Even worse, the correlation functions were disturbed by scatter neutrons and include “accidental” coincidence, which is not conductive to the geometry identification. In this paper, we proposed an identification method combining principal component analysis and least-square support vector machine (PCA-LSSVM). The results based on PCA-LSSVM showed that the training precision was 100% and the test precision was 95.83% of the identification model. The total precision of the identification model was 98.41%, which indicated that the identification model was an effective way to identify the geometry properties with the correlation functions. |
| format | Article |
| id | doaj-art-72fe225bf38e41ce94e80023d91d4a8e |
| institution | Kabale University |
| issn | 1687-6075 1687-6083 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Science and Technology of Nuclear Installations |
| spelling | doaj-art-72fe225bf38e41ce94e80023d91d4a8e2025-02-03T05:46:47ZengWileyScience and Technology of Nuclear Installations1687-60751687-60832018-01-01201810.1155/2018/91268249126824The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation MeasurementsMi Zhou0Peng Feng1Yixin Liu2Biao Wei3Key Laboratory of Optoelectronic Technology and System, Ministry of Education, Chongqing University, Chongqing 400044, ChinaKey Laboratory of Optoelectronic Technology and System, Ministry of Education, Chongqing University, Chongqing 400044, ChinaDepartment of Engineering Physics, Tsinghua University, Beijing 100084, ChinaKey Laboratory of Optoelectronic Technology and System, Ministry of Education, Chongqing University, Chongqing 400044, ChinaThe geometry of uranium components is one of the key characteristics and strictly confidential. The geometry identification of metal uranium components was studied using 252Cf source-driven correlation measurement method. For the 3 uranium samples with the same mass and enrichment, there are subtle differences in neutron signals. Even worse, the correlation functions were disturbed by scatter neutrons and include “accidental” coincidence, which is not conductive to the geometry identification. In this paper, we proposed an identification method combining principal component analysis and least-square support vector machine (PCA-LSSVM). The results based on PCA-LSSVM showed that the training precision was 100% and the test precision was 95.83% of the identification model. The total precision of the identification model was 98.41%, which indicated that the identification model was an effective way to identify the geometry properties with the correlation functions.http://dx.doi.org/10.1155/2018/9126824 |
| spellingShingle | Mi Zhou Peng Feng Yixin Liu Biao Wei The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements Science and Technology of Nuclear Installations |
| title | The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements |
| title_full | The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements |
| title_fullStr | The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements |
| title_full_unstemmed | The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements |
| title_short | The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements |
| title_sort | feasibility study for multigeometries identification of uranium components using pca lssvm based on correlation measurements |
| url | http://dx.doi.org/10.1155/2018/9126824 |
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