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

• Datum: 2018
• Hauptverfasser: Subbotin, S. A., Korniienko, O. V., Drokin, I. V.
• Format: Artikel
• Sprache: Ukrainisch
• Veröffentlicht: Інститут проблем реєстрації інформації НАН України 2018
• Schlagworte: forecasting; signal; training; neural network; convolution; error; gradient
• Online Zugang: http://drsp.ipri.kiev.ua/article/view/158515
• Назва журналу: 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...