| DC Field | Value | Language |
|---|
| dc.contributor.author | Pukach, Pavlo | |
| dc.contributor.author | Hladun, Volodymyr | |
| dc.coverage.temporal | 25-27 June 2018 | |
| dc.date.accessioned | 2018-09-03T11:41:11Z | - |
| dc.date.available | 2018-09-03T11:41:11Z | - |
| dc.date.created | 2018-06-25 | |
| dc.date.issued | 2018-06-25 | |
| dc.identifier.citation | Pukach P. Using dynamic neural networks for server load prediction / Pavlo Pukach, Volodymyr Hladun // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 157–160. — (Section II. Intelligent Systems). | |
| dc.identifier.issn | 2523-4013 | |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/42563 | - |
| dc.description.abstract | In this paper, the approach of using neural networks for making time
series predictions of strongly nonlinear data is used. A brief examination of
neural networks usage for time series predictions is given, as well as the
definition and schematics of LSTM blocks. The comparison between the time
delay values and the prediction accuracy is given. It is shown that certain values
of time delay can greatly increase the prediction accuracy. | |
| dc.format.extent | 157-160 | |
| dc.language.iso | en | |
| dc.publisher | Lviv Polytechnic National University | |
| dc.relation.ispartof | Computational linguistics and intelligent systems (2), 2018 | |
| dc.relation.uri | http://www.mathworks.com/help/pdfdoc/nnet/nnet | |
| dc.subject | neural networks | |
| dc.subject | long short-term memory | |
| dc.subject | time series prediction | |
| dc.title | Using dynamic neural networks for server load prediction | |
| dc.type | Conference Abstract | |
| dc.rights.holder | © 2018 for the individual papers by the papers’ authors. Copying permitted only for private and academic purposes. This volume is published and copyrighted by its editors. | |
| dc.contributor.affiliation | Lviv Polytechnic National University, Department of Applied mathematics | |
| dc.format.pages | 4 | |
| dc.identifier.citationen | Pukach P. Using dynamic neural networks for server load prediction / Pavlo Pukach, Volodymyr Hladun // Computational linguistics and intelligent systems, 25-27 June 2018. — Lviv : Lviv Polytechnic National University, 2018. — Vol 2 : Workshop. — P. 157–160. — (Section II. Intelligent Systems). | |
| dc.relation.references | 1. M. Beale, M. Hagan, and H.Demuth, “Matlab neural network toolbox user’s guide,” The Math Works Inc., 2010, http://www.mathworks.com/help/pdfdoc/nnet/nnet ug.pdf. | |
| dc.relation.references | 2. C. A. Mitrea, C. K. M. Lee, and Z. Wu, “A comparison between neural networks and traditional forecasting methods: A case study,” in International Journal of Engineering Business Management, vol. 1, no. 2 2009, pp. 19–24. | |
| dc.relation.referencesen | 1. M. Beale, M. Hagan, and H.Demuth, "Matlab neural network toolbox user’s guide," The Math Works Inc., 2010, http://www.mathworks.com/help/pdfdoc/nnet/nnet ug.pdf. | |
| dc.relation.referencesen | 2. C. A. Mitrea, C. K. M. Lee, and Z. Wu, "A comparison between neural networks and traditional forecasting methods: A case study," in International Journal of Engineering Business Management, vol. 1, no. 2 2009, pp. 19–24. | |
| dc.citation.spage | 157 | |
| dc.citation.epage | 160 | |
| dc.coverage.placename | Lviv | |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2018 р.
|
