Open AccessClassification of asteroid families with artificial neural networks
Author(s) -
Dejan Vujičić,
R. Pavlovič,
Dušan Milošević,
Borislav Djordjević,
Sinisa Randjic,
Dijana Stojic
Publication year - 2020
Publication title -
serbian astronomical journal/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 , physics , artificial intelligence , cluster analysis , pattern recognition (psychology) , machine learning , computer science , 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.