THE USE OF ARTIFICIAL NEURAL NETWORKS IN PLASMA SPECTROSCOPY

被引：11
|
作者：
MORGAN, WL
LARSEN, JT
GOLDSTEIN, WH
机构：
[1] CASCADE APPL SCI INC,BOULDER,CO 80132
[2] LAWRENCE LIVERMORE NATL LAB,LIVERMORE,CA 94550
来源：
JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER | 1994年 / 51卷 / 1-2期
关键词：
D O I：
10.1016/0022-4073(94)90086-8
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Plasma spectroscopic instrumentation produces a vast amount of data that requires a substantial effort in analysis. New methods are needed to improve the efficiency of the analysis process. Artificial neural networks, which have been applied to a variety of signal processing and pattern recognition problems, are well suited for the analysis of laboratory data that can be viewed as a pattern matching problem. We summarize the neural network concepts and algorithms and illustrate the use of a neural network in the determination of electron temperature and density by analysis of spectral data from a plasma.
引用
收藏
页码：247 / 253
页数：7
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