| 摘要: |
| 利用模式识别的主成分分析法(PCA-Principal Component Analysis)对Cm奇宇称光谱的电子组态进行分类,得出5f87p、5f76d7s、5f76d2各组态间的分类判据。结果表明:选择适当的模式识别方法和空间投影,寻找组态间的分类判据,可以有效地对原子光谱的电子组态进行分类和预报,是原子光谱分析的一种有用的方法。 |
| 关键词: CmⅡ奇宇称光谱 电子组态 主成分分析 |
| DOI： |
| 投稿时间：1998-07-06 |
| 基金项目:国家自然科学基金(59861001)、教育部优秀年轻教师基金(1999-5)、广西科学配套基金(桂科配9912005)和广西教育厅科学基金(1998-169)资助项目。 |
|
| Pattern Recognition Applied to the Energy Levels of the CmⅡ Odd-parity Spectrum |
|
Li Yinqing, Guo Jin
|
| (Analysising & Testing Centre, Guangxi Normal Univ., 3 Yucailu, Guilin, Guangxi, 541004, China) |
| Abstract: |
| The principal component analysis, one of pattern recognition methods, is applied to classification of electronic configuration of the odd-parity spectrum of curium (CmⅡ) and some criteria for classification of configurations among 5f87p、5f76d7s、5f76d2 are obtained. The results show that electronic configurations of atomic spectrum can be assigned and predicted effectively by classification criteria obtained by both pattern recognition and space mapping, which are useful for atomic spectrum analysis. |
| Key words: CmⅡ odd-parity spectrum electronic configuration principal component analysis |
