最优线性联想网络在X射线谱分析中的应用研究

APPLICATION OF OLAM NETWORK IN X-RAY SPECTRAL ANALYSIS

介绍了一种重要的人工神经网络——最优线性联想网络 ,并将其应用在 X射线谱分析中 ,成功地克服了传统解谱方法速度慢、不能准确分析含有重峰的复杂 X射线谱的缺点。最优线性联想网络解谱方法广泛应用于快速在线测量及现场分析的各种场合 ,特别是当待分析样品组分固定时 ,解谱效果更好。

This paper describes a new approach to the automatic radioisotope identification problem based on the use of OLAM network. Different from the traditional methods, the OLAM network takes the spectrum as a whole comparing its shape with the patterns learned during the training period of the network. In this paper, it is found that the OLAM network, once adequately trained, is quite suitable to identify a given isotope present in a mixture of elements as well as the relative proportions of each identified substance.Preliminary results are good enough to consider OLAM network as powerful and simple tools in the automatic spectrum analysis.