Genetic algorithms in plasma diagnostic analysis

被引：13

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

页码：337 / 346

页数：10

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