Computational Intelligence in Radio Astronomy: Using Computational Intelligence Techniques to Tune Geodesy Models

被引：0

作者：

Angus, Daniel ^{[1
]}

Deller, Adarn ^{[2
]}

机构：

[1] Univ Queensland, Queensland Brain Inst, Brisbane, Qld 4072, Australia

[2] Swinburne Univ Technol, Ctr Astrophys & Supercomp, Hawthorn, Vic 3122, Australia

来源：

SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS | 2008年 / 5361卷

关键词：

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper a number of popular Computational Intelligence (CI) algorithms are used to tune Geodesy models, a, radio astronomy problem. Several single and multiple objective Variations of the Geodesy problem are examined with good results obtained using state-of-the-art Cl algorithms. These novel applications are used to develop insights into methods for applying CI algorithms to unknown problem domains and to provide interesting solutions to the Geodesy models used.

引用

页码：615 / +

页数：2

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