自联想神经网络算法在X射线复合谱分析中的应用  

Application of Self Associative Memory Neural Network Algorithm in Analyzing Composite Spectra of X Ray

作　　者：胡纫兰[1] 江辅华[1] 李泰华[1] 唐代全[1] 王鹏[1] 李文学[1] 

机构地区：[1]四川大学原子核科学技术研究所

出　　处：《核电子学与探测技术》1998年第2期128-131,共4页Nuclear Electronics & Detection Technology

摘　　要：本文应用自联想神经网络的算法完成了对重叠峰复合谱的分析，文章着重叙述了算法原理，实现方法并给出了在低分辨探测器的Ｘ荧光分析中的应用结果。An algorithm, which is called as self associative memory in neural network and developed to analyze composite spectra with overlapping peak positions, is introduced in this paper. The principle and procedures of the algorithm are described in detail, and the results obtained by means of the algorithm in analysis of X ray fluorescence spetra measured with low resolution detector are presented. (

关 键 词：X荧光分析 能谱 正比计数管 自联想神经网络 

分 类 号：O657.34[理学—分析化学] TP18[理学—化学]