A classification of meteor radio echoes based on artificial neural network
An artificial neural network is described for classification of meteor trails into the distinct overdense, intermediate and underdense trail categories. The neural network was trained and on model data obtained using the “KAMET” program and tested on real data. The best result of classification succ...
Main Authors: | Danilov Mikhail, Karpov Arkadi |
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Format: | Article |
Language: | English |
Published: |
De Gruyter
2018-12-01
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Series: | Open Astronomy |
Subjects: | |
Online Access: | https://doi.org/10.1515/astro-2018-0037 |
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