Neural network-based matrix effect correction in EDXRF analysis

In this paper we discuss neural network-based matrix effect correction in energy dispersive X-ray fluorescence （EDXRF） analysis, with detailed algorithm to classify the samples. The method can correct the matrix effect effectively through classifying the samples automatically, and influence of X-ray...

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Veröffentlicht in:	Nuclear science and techniques 2008-10, Vol.19 (5), p.278-281
Hauptverfasser:	TUO, Xianguo, CHENG, Bo, MU, Keliang, LI, Zhe
Format:	Artikel
Sprache:	eng
Schlagworte:	Cluster analysis Matrix effect Self-organizing mapping neural network Sinter mineral TL271 +.7 基体效应 烧结矿物 神经网络 聚类分析 能量耗散X射线荧光分析
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