APPLICATION OF DEEP LEARNING NEURAL NETWORK FOR CLASSIFICATION OF BIG DATA OF ASTRONOMIC OBSERVATIONS
Purpose: In the process of astronomical observations vast amounts of data are collected. The BSA (Big Scanning Antenna) used in the study of impulse phenomena, daily logs 87.5 GB of data (32 TB per year). The aim of this work is to develop the web-service which assists the experts with classificatio...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
National Academy of Sciences of Ukraine, Institute of Radio Astronomy
2017-12-01
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| Series: | Radio Physics and Radio Astronomy |
| Subjects: | |
| Online Access: | http://rpra-journal.org.ua/index.php/ra/article/view/1275 |