Artificial neural networks in stellar astronomy

被引：0

作者：

Gulati, RK ^{[1
]}

Altamirano, L ^{[1
]}

机构：

[1] Inst Nacl Astrofis Opt & Elect, Tonantzintla, Mexico

来源：

IX LATIN AMERICAN REGIONAL MEETING OF THE INTERNATIONAL-ASTRONOMICAL-UNION | 2001年 / 11卷

关键词：

galaxies; stellar content; methods; statistical; data analysis; numerical stars: stellar classification;

D O I：

暂无

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

Next generation of optical spectroscopic surveys, such as the Sloan Digital Sky Survey and the 2 degree field survey, will provide large stellar databases. New tools will be required to extract useful information from these. We. show the applications.-of artificial neural networks to stellar databases. In another, application of this method, we predict spectral and luminosity classes from the catalog of spectral indices. We assess-the importance of such methods for stellar populations studies.

引用

页码：85 / 86

页数：2

共 15 条

[1] Automated classification of stellar spectra - II. Two-dimensional classification with neural networks and principal components analysis [J].