Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F75081431%3A_____%2F21%3A00001945" target="_blank" >RIV/75081431:_____/21:00001945 - isvavai.cz</a>
Result on the web
<a href="http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=9&SID=F3poXwGWHGp3bC2Qa8r&page=1&doc=1" target="_blank" >http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=9&SID=F3poXwGWHGp3bC2Qa8r&page=1&doc=1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/risks9010001" target="_blank" >10.3390/risks9010001</a>
Alternative languages
Result language
angličtina
Original language name
Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate
Original language description
The authors aim is to present a methodology based on neural networks that takes into consideration seasonal fluctuations when equalizing time series by using the Czech crown and Chinese yuan as examples. The analysis is conducted using daily information on the Czech crown/Chinese yuan exchange rate over a period of more than nine years. Statistica software, version 12 by Dell Inc. is used to process the input data and, subsequently, to generate multi-layer perceptron networks and radial basis function neural networks.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
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
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Risks
ISSN
2227-9091
e-ISSN
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Volume of the periodical
9
Issue of the periodical within the volume
1
Country of publishing house
CH - SWITZERLAND
Number of pages
21
Pages from-to
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UT code for WoS article
000610727100001
EID of the result in the Scopus database
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