Classification of asteroid families with artificial neural networks
| Autor: | S. Randjic, R. Pavlovic, D. Milosevic, Dejan Vujicic, Dijana Stojic, B. Djordjevic |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Physics
Artificial neural network Quantitative Biology::Neurons and Cognition business.industry lcsh:Astronomy Computer Science::Neural and Evolutionary Computation Physics::Optics Astronomy and Astrophysics methods: data analysis asteroids: general lcsh:QB1-991 ComputingMethodologies_PATTERNRECOGNITION Asteroid minor planets Artificial intelligence business |
| Zdroj: | Serbian Astronomical Journal, Vol 2020, Iss 201, Pp 39-48 (2020) |
| ISSN: | 1820-9289 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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