Classification of Galaxy Morphologies using Artificial Neural Network

被引：0
|
作者：
Biswas, Manish [1 ]
Adlak, Ritesh [1 ]
机构：
[1] Savitribai Phule Pune Univ, Dept Informat Technol, Pune 411048, Maharashtra, India
来源：
2018 4TH INTERNATIONAL CONFERENCE FOR CONVERGENCE IN TECHNOLOGY (I2CT) | 2018年
关键词：
Artificial Neural Network; Data Mining; Galaxy Morphologies; Classification; Astronomy;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
From the beginning of the modern astronomy, there has been a huge collection of image data set from various projects and surveys like Galaxy Zoo and Sloan Digital Sky Survey (SDSS) which is used for the study of the universe. But they do not provide classification information about the galaxy images it contained. During the past decade, the manual classification of the objects in these images are becoming obsolete due to the use machine learning methods which make this process automated. This tool makes use of the artificial neural network (ANN) to classify the galaxy morphologies into three classes. This algorithm classifies galaxies into a spiral, elliptical and irregular.
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页数：4
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