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@inproceedings{48681, author = {Horák, Jakub and Krulický, Tomáš}, address = {Les Ulis, France}, booktitle = {SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)}, doi = {http://dx.doi.org/10.1051/shsconf/20196101006}, editor = {Horák, J.}, keywords = {prediction; stock price; time series; exponential alignment; artificial neural networks}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Les Ulis, France}, isbn = {978-2-7598-9063-7}, pages = {nestránkováno}, publisher = {EDP Sciences}, title = {Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company}, year = {2019} }
TY - JOUR ID - 48681 AU - Horák, Jakub - Krulický, Tomáš PY - 2019 TI - Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company PB - EDP Sciences CY - Les Ulis, France SN - 9782759890637 KW - prediction KW - stock price KW - time series KW - exponential alignment KW - artificial neural networks N2 - The aim of this paper is to compare a method of exponential time series alignment and time series alignment using artificial neural networks as tools for predicting future stock price developments on the example of the company Unipetrol. Time series alignment is performed using artificial neural networks, exponential alignment of time series, and then a comparison of time series of predictions of future stock price trends predicted using the most successful neural network and price prediction calculated by exponential time series alignment is performed. ER -
HORÁK, Jakub a Tomáš KRULICKÝ. Comparison of exponential time series alignment and time series alignment using artificial neural networks by example of prediction of future development of stock prices of a specific company. In Horák, J. \textit{SHS Web of Conferences: Innovative Economic Symposium 2018 - Milestones and Trends of World Economy (IES2018)}. Les Ulis, France: EDP Sciences. s.~nestránkováno, 13 s. ISBN~978-2-7598-9063-7. doi:10.1051/shsconf/20196101006. 2019.
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