Classification of asteroid families with artificial neural networks

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.

Keywords

• methods: data analysis
• minor planets
• asteroids: general