Genetic algorithms in plasma diagnostic analysis

被引：12
|
作者：
Millar, AP [1 ]
McDonald, DC
Diver, DA
机构：
[1] Univ Glasgow, Dept Phys & Astron, Glasgow G12 8QQ, Lanark, Scotland
[2] JET Joint Undertaking, Abingdon OX14 3EA, Oxon, England
来源：
PLASMA PHYSICS AND CONTROLLED FUSION | 2000年 / 42卷 / 03期
关键词：
D O I：
10.1088/0741-3335/42/3/310
中图分类号：
O35 [流体力学]; O53 [等离子体物理学];
学科分类号：
070204 ; 080103 ; 080704 ;
摘要：
A novel sophisticated technique for data reduction utilising Bayesian statistics and a genetic algorithm has been developed by the authors. The technique gives superior signal recovery in poor signal-to-noise ratio conditions compared to simple linear least-squares methods. In this paper, the method is discussed along with a detailed case study: the Thomson scattering diagnostic of a magnetically confined plasma.
引用
收藏
页码：337 / 346
页数：10
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