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@inproceedings{46881, author = {Dvořáková, Lenka}, address = {Les Ulis, France}, booktitle = {SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade}, edition = {1.}, editor = {Váchal, Jan; Vochozka, Marek; Horák, Jakub}, keywords = {GDP; prediction; neural networks; Box-Jenkins Method}, howpublished = {tištěná verze "print"}, language = {eng}, location = {Les Ulis, France}, isbn = {978-2-7598-9028-6}, pages = {nestránkováno}, publisher = {EDP Sciences}, title = {CZ GDP Prediction via neural networks and Box-Jenkins Method}, year = {2017} }
TY - JOUR ID - 46881 AU - Dvořáková, Lenka PY - 2017 TI - CZ GDP Prediction via neural networks and Box-Jenkins Method PB - EDP Sciences CY - Les Ulis, France SN - 9782759890286 KW - GDP KW - prediction KW - neural networks KW - Box-Jenkins Method N2 - One of the many instruments for predict the future development of economic indicators are neural networks or Box-Jenkins Method, able to predict future development based on data from the past. The aim of this contribution is to find CZ GDP prediction per individual quarters using neural networks and Box-Jenkins Method, compare them mutually, and evaluate which of them is better. ER -
DVOŘÁKOVÁ, Lenka. CZ GDP Prediction via neural networks and Box-Jenkins Method. In Váchal, Jan; Vochozka, Marek; Horák, Jakub. \textit{SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade}. 1. vyd. Les Ulis, France: EDP Sciences. s.~nestránkováno, 9 s. ISBN~978-2-7598-9028-6. 2017.
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