Classification of asteroid families with artificial neural networks

IF 0.8 4区物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS

Serbian Astronomical Journal Pub Date : 2020-01-01 DOI:10.2298/saj2001039v

D. Vujičić, R. Pavlović, D. Milosevic, B. Djordjevic, S. Randjić, Dijana Stojić

引用次数: 3

Abstract

This paper describes an artificial neural network for classification of asteroids into families. The data used for artificial neural network training and testing were obtained by the Hierarchical Clustering Method (HCM). We have shown that an artificial neural networks can be used as a validation method for the HCM on families with a large number of members.

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用人工神经网络对小行星族进行分类

本文介绍了一种用于小行星科分类的人工神经网络。采用层次聚类方法(HCM)获得用于人工神经网络训练和测试的数据。我们已经证明了人工神经网络可以作为一种验证方法，用于具有大量成员的家庭的HCM。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Serbian Astronomical Journal ASTRONOMY & ASTROPHYSICS-

CiteScore

1.00

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： Serbian Astronomical Journal publishes original observations and researches in all branches of astronomy. The journal publishes: Invited Reviews - review article on some up-to-date topic in astronomy, astrophysics and related fields (written upon invitation only), Original Scientific Papers - article in which are presented previously unpublished author''s own scientific results, Preliminary Reports - original scientific paper, but shorter in length and of preliminary nature, Professional Papers - articles offering experience useful for the improvement of professional practice i.e. article describing methods and techniques, software, presenting observational data, etc. In some cases the journal may publish other contributions, such as In Memoriam notes, Obituaries, Book Reviews, as well as Editorials, Addenda, Errata, Corrigenda, Retraction notes, etc.