A prediction of the frequency of non-periodic signals based on convolutional neural networks

• Date: 2018
• Main Authors: Subbotin, S. A., Korniienko, O. V., Drokin, I. V.
• Format: Article
• Language: Ukrainian
• Published: Інститут проблем реєстрації інформації НАН України 2018
• Subjects: forecasting; signal; training; neural network; convolution; error; gradient
• Online Access: http://drsp.ipri.kiev.ua/article/view/158515
• Journal Title: Data Recording, Storage & Processing

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...