Independent component analysis applications in physics

被引：0
|
作者：
Fernandez, C [1 ]
Nayeri, S [1 ]
机构：
[1] Duke Univ, Dept Elect Engn, Durham, NC 27708 USA
来源：
Proceedings of the International Joint Conference on Neural Networks (IJCNN), Vols 1-5 | 2005年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Although several applications of Independent Component Analysis (ICA) reported in the literature are related to physics, none have focused on the analysis of data typical of energy spectrum measurements. The present work has identified promising opportunities for future exploration in this area. Preliminary results are reported for some particular applications including one that improves the analysis of angular distribution spectra from nuclear reactions and one that is effective for the analysis of resonance data.
引用
收藏
页码：2213 / 2216
页数：4
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