A prediction of the frequency of non-periodic signals based on convolutional neural networks
The problem on creation of mathematical support for construction of forecast models based on convolutional neural networks is solved in the work. A method is proposed for using convolutional neural networks to predict the frequency of non-periodic signals. To determine the frequency of the signal, i...
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Date: | 2018 |
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Main Authors: | Subbotin, S. A., Korniienko, O. V., Drokin, I. V. |
Format: | Article |
Language: | Ukrainian |
Published: |
Інститут проблем реєстрації інформації НАН України
2018
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Subjects: | |
Online Access: | http://drsp.ipri.kiev.ua/article/view/158515 |
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Journal Title: | Data Recording, Storage & Processing |
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