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Equalizing seasonal time series using artificial neural networks in predicting the Euro-Yuan exchange rate
Vochozka, Marek; Horák, Jakub; Šuleř, Petr - In: Journal of risk and financial management : JRFM 12 (2019) 2/76, pp. 1-17
, while affecting it significantly in the short run. However, prediction of the exchange rate is very complicated. In this …
Persistent link: https://www.econbiz.de/10012022122
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Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate
Rowland, Zuzana; Lazaroiu, Gheorghe; Podhorská, Ivana - In: Risks : open access journal 9 (2021) 1/1, pp. 1-21
The global nature of the Czech economy means that quantitative knowledge of the influence of the exchange rate provides useful information for all participants in the international economy. Systematic and academic research show that the issue of estimating the Czech crown/Chinese yuan exchange...
Persistent link: https://www.econbiz.de/10012422880
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Use of neural networks to accommodate seasonal fluctuations when equalizing time series for the CZK/RMB exchange rate
Rowland, Zuzana - In: Risks 9 (2021) 1, pp. 1-21
The global nature of the Czech economy means that quantitative knowledge of the influence of the exchange rate provides useful information for all participants in the international economy. Systematic and academic research show that the issue of estimating the Czech crown/Chinese yuan exchange...
Persistent link: https://www.econbiz.de/10013200671
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Hierarchical Method Based on Artificial Neural Networks for Power Output Prediction of a Combined Cycle Power Plant
Alamaniotis, Miltiadis; Tsoukalas, Lefteri H.; Fainti, Rafik - In: International Journal of Monitoring and Surveillance … 4 (2016) 4, pp. 20-32
Plants (CCPPs) because of the quite efficient way these units are capable to produce electricity. Hence, the prediction of …
Persistent link: https://www.econbiz.de/10012046684
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PREDICTION OF THE FINANCIAL RETURN OF THE PAPER SECTOR WITH ARTIFICIAL NEURAL NETWORKS
Ibrahim Yildirim; Sukru Ozsahin; Kadri Cemil Akyuz - Department of Forest Industrial Engineering, Faculty of …; … - 2011
financial prediction. The Istanbul Stock Exchange (ISE), at which millions of national and international investors operate, is …
Persistent link: https://www.econbiz.de/10009447298
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Credit risk prediction : a comparative study between discriminant analysis and the neural network approach
Khemakhem, Sihem; Boujelbène, Younés - In: Journal of accounting & management information systems … 14 (2015) 1, pp. 60-78
Banks are concerned with the assessment of the risk of financial distress before giving out a loan. Many researchers proposed the use of models based on the Neural Networks in order to help the banker better make a decision. The objective of this paper is to explore a new practical way based on...
Persistent link: https://www.econbiz.de/10011311150
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Optimization of cutting parameters in face milling with neural networks and Taguchi based on cutting force, surface roughness and temperatures
Yalcin, Umit; Karaoglan, Aslan Deniz; Korkut, Ihsan - In: International journal of production research 51 (2013) 11, pp. 3403-3414
Persistent link: https://www.econbiz.de/10009774498
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Analysis of the effects of cell temperature on the predictability of the solar photovoltaic power production
Al-Dahidi, Sameer; Al-Nazer, Salah; Ayadi, Osama; … - In: International Journal of Energy Economics and Policy : IJEEP 10 (2020) 5, pp. 208-219
Persistent link: https://www.econbiz.de/10012505992
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Greek long-term energy consumption prediction using artificial neural networks
Ekonomou, L. - In: Energy 35 (2010) 2, pp. 512-517
prediction of 2005–2008, 2010, 2012 and 2015 Greek energy consumption. The produced ANN results for years 2005–2008 were compared … accurate tool for the Greek long-term energy consumption prediction problem, which up today has not been faced effectively. …
Persistent link: https://www.econbiz.de/10010809482
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The impact of COVID-19 on unemployment rate : an intelligent based unemployment rate prediction in selected countries of Europe
Ahmad, Muneeb; Khan, Yousaf Ali; Jiang, Chonghui; … - In: International journal of finance & economics : IJFE 28 (2023) 1, pp. 528-543
Persistent link: https://www.econbiz.de/10014253227