CZ GDP Prediction via neural networks and Box-Jenkins Method
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F17%3A00001381" target="_blank" >RIV/75081431:_____/17:00001381 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
CZ GDP Prediction via neural networks and Box-Jenkins Method
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
N - Vyzkumna aktivita podporovana z neverejnych zdroju
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
SHS Web of Conferences - Innovative Economic Symposium 2017: Strategic Partnership in International Trade
ISBN
9782759890286
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
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Publisher name
EDP Sciences
Place of publication
Les Ulis, France
Event location
České Budějovice, Czech Republic.
Event date
Oct 19, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000452181300005