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. (
出处
《核电子学与探测技术》
EI
CAS
CSCD
北大核心
1998年第2期128-131,共4页
Nuclear Electronics & Detection Technology
关键词
X荧光分析
能谱
正比计数管
自联想神经网络
X ray fluorescence analysis X ray tube Proportional counter Self associative memory neural network)
