دورية أكاديمية

A classification of meteor radio echoes based on artificial neural network.

التفاصيل البيبلوغرافية
العنوان: A classification of meteor radio echoes based on artificial neural network.
المؤلفون: Danilov, Mikhail, Karpov, Arkadi
المصدر: Advances in Materials Science; Dec2018, Vol. 18 Issue 4, p318-325, 8p
مصطلحات موضوعية: METEORS, ARTIFICIAL neural networks, RADIO wave propagation, ASTRONOMICAL observations
مستخلص: 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 success rate of 95% without according to the heights of the formation of meteor trails. Results of classification with according to the heights of the formation of meteor trails are 82% - 91%. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:17302439
DOI:10.1515/astro-2018-0037