Classification of asteroid families with artificial neural networks | Zendy

Dejan Vujičić | Zendy; R. Pavlović | Zendy; Dušan Milošević | Zendy; Borislav Djordjević | Zendy; Siniša Randjić | Zendy; Dijana Stojić | Zendy

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Classification of asteroid families with artificial neural networks

Author(s) -

Dejan Vujičić,

R. Pavlović,

Dušan Milošević,

Borislav Djordjević,

Siniša Randjić,

Dijana Stojić

Publication year - 2020

Publication title -

serbian astronomical journal

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.196

H-Index - 16

eISSN - 1820-9289

pISSN - 1450-698X

DOI - 10.2298/saj2001039v

Subject(s) - artificial neural network , asteroid , artificial intelligence , computer science , cluster analysis , artificial intelligence system , nervous system network models , types of artificial neural networks , pattern recognition (psychology) , machine learning , time delay neural network , physics , astronomy

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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