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About Influence of Weight Initialization Algorithms on Accuracy of the Forecast with LSTM-net for Harmonic Signals. /
Timoshenkova, Yulia; Safiullin, Nikolai; Porshnev, Sergey.
Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021. Institute of Electrical and Electronics Engineers Inc., 2021. стр. 330-333 9455014 (Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021).
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Timoshenkova, Y, Safiullin, N & Porshnev, S 2021,
About Influence of Weight Initialization Algorithms on Accuracy of the Forecast with LSTM-net for Harmonic Signals. в
Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021., 9455014, Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021, Institute of Electrical and Electronics Engineers Inc., стр. 330-333, Международная конференция 2021 IEEE Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology (USBEREIT), Yekaterinburg, Российская Федерация,
13/05/2021.
https://doi.org/10.1109/USBEREIT51232.2021.9455014
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@inproceedings{2f340de246d046f884ceaf33d435e0e4,
title = "About Influence of Weight Initialization Algorithms on Accuracy of the Forecast with LSTM-net for Harmonic Signals",
keywords = "artificial neural network, data analysis, long short-Term memory, time series forecast",
author = "Yulia Timoshenkova and Nikolai Safiullin and Sergey Porshnev",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021 ; Conference date: 13-05-2021 Through 14-05-2021",
year = "2021",
month = may,
day = "13",
doi = "10.1109/USBEREIT51232.2021.9455014",
language = "English",
series = "Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "330--333",
booktitle = "Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021",
address = "United States",
}
RIS
TY - GEN
T1 - About Influence of Weight Initialization Algorithms on Accuracy of the Forecast with LSTM-net for Harmonic Signals
AU - Timoshenkova, Yulia
AU - Safiullin, Nikolai
AU - Porshnev, Sergey
N1 - Publisher Copyright: © 2021 IEEE.
PY - 2021/5/13
Y1 - 2021/5/13
KW - artificial neural network
KW - data analysis
KW - long short-Term memory
KW - time series forecast
UR - http://www.scopus.com/inward/record.url?scp=85113776910&partnerID=8YFLogxK
U2 - 10.1109/USBEREIT51232.2021.9455014
DO - 10.1109/USBEREIT51232.2021.9455014
M3 - Conference contribution
AN - SCOPUS:85113776910
T3 - Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021
SP - 330
EP - 333
BT - Proceedings - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology, USBEREIT 2021
Y2 - 13 May 2021 through 14 May 2021
ER -
