ROWLAND, Zuzana, George LAZAROIU and Ivana PODHORSKÁ. Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate. Risks. Basel: MDPI, 2021, vol. 9, No 1, p. nestránkováno, 21 pp. ISSN 2227-9091. Available from: https://dx.doi.org/10.3390/risks9010001. |
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@article{56481, author = {Rowland, Zuzana and Lazaroiu, George and Podhorská, Ivana}, article_location = {Basel}, article_number = {1}, doi = {http://dx.doi.org/10.3390/risks9010001}, keywords = {time series; prediction; exchange rate; artificial neural networks; radial basis function; multi-layer perceptron; seasonal fluctuations; global economy}, language = {eng}, issn = {2227-9091}, journal = {Risks}, title = {Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate}, url = {http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=9&SID=F3poXwGWHGp3bC2Qa8r&page=1&doc=1}, volume = {9}, year = {2021} }
TY - JOUR ID - 56481 AU - Rowland, Zuzana - Lazaroiu, George - Podhorská, Ivana PY - 2021 TI - Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate JF - Risks VL - 9 IS - 1 SP - nestránkováno EP - nestránkováno PB - MDPI SN - 22279091 KW - time series KW - prediction KW - exchange rate KW - artificial neural networks KW - radial basis function KW - multi-layer perceptron KW - seasonal fluctuations KW - global economy UR - http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=9&SID=F3poXwGWHGp3bC2Qa8r&page=1&doc=1 L2 - http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=9&SID=F3poXwGWHGp3bC2Qa8r&page=1&doc=1 N2 - 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. ER -
ROWLAND, Zuzana, George LAZAROIU and Ivana PODHORSKÁ. Use of Neural Networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate. \textit{Risks}. Basel: MDPI, 2021, vol.~9, No~1, p.~nestránkováno, 21 pp. ISSN~2227-9091. Available from: https://dx.doi.org/10.3390/risks9010001.
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