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Neural Network Application to Support Regression Model in Forecasting Single-Sectional Demand for Telecommunications Services Cover

Neural Network Application to Support Regression Model in Forecasting Single-Sectional Demand for Telecommunications Services

Open Access
|Dec 2018

References

  1. Begg, I. (2010). Europe 2020 and employment. Intereconomics, 45, 146‒151.
  2. Box, G.E.P., Jenkins, G.M., Reinsel, G.C. (1994). Time Series Analysis. Forecasting and Control. Englewood Clifs: Prentice Hall.
  3. Dittmann, P., Szabela-Pasierbińska, E., Dittmann, I., Szpulak, A. (2011). Prognozowanie w zarządzaniu sprzedażą i finansami przedsiębiorstwa. Warszawa: Wolters Kluwer Polska.
  4. European Commission. Brussels 3.3.2010. Communication from the Commission, Europe 2020. A strategy for smart, sustainable and inclusive growth. Retrieved from: http://www.buildup.eu/sites/default/files/content/com2010_2020en01.pdf (22.05.2018).
  5. Griffin, R. (2015). Fundamentals of management. Boston: Cengage Learning.
  6. Kaczmarczyk, P. (2016). Integrated Model of Demand for Telephone Services in Terms of Microeconometrics. Folia Oeconomica Stetinensia, 16, 72-83. doi:10.1515/foli-2016-002610.1515/foli-2016-0026
  7. Kaczmarczyk, P. (2017). Microeconometric Analysis of Telecommunication Services Market with the Use of SARIMA Models. Dynamic Econometric Models, 17, 41–57. DOI: 10.12775/DEM.2017.003.10.12775/DEM.2017.003
  8. Kufel, T. (2010). Ekonometryczna analiza cykliczności procesów gospodarczych o wysokiej częstotliwości obserwowania. Toruń: Wydawnictwo Naukowe UMK.
  9. Lula, P. (1999). Jednokierunkowe sieci neuronowe w modelowaniu zjawisk ekonomicznych. Kraków: Wydawnictwo Akademii Ekonomicznej w Krakowie.
  10. Makridakis, S., Wheelwright, S.C. (1989). Forecasting Methods for Management. New York: J. Wiley.
  11. Makridakis, S., Wheelwright, S.C., Hyndman, R.J. (1998). Forecasting Methods and Applications. New York: J. Wiley.
  12. Masters, T. (1993). Practical Neural Network Recipes in C++. San Diego: Academic Press, Inc.10.1016/B978-0-08-051433-8.50017-3
  13. Nadolny, M. (2011). Podstawowe modele dyfuzji dóbr telekomunikacyjnych. In: J. Łyka (ed.), Wybrane modele matematyczne w ekonomii. Globalizacja i rozwój (pp. 70‒108). Wrocław: Wydawnictwo Uniwersytetu Ekonomicznego.
  14. Presidency Conclusions. Lisbon European Council of 23rd and 24th March 2000. Retrieved from: http://www.europarl.europa.eu/summits/lis1_en.htm (24.05.2018).
  15. Rojas, R. (2013). Neural Networks: A systematic introduction. Berlin: Springer Science & Business Media.
  16. Tiliouine, H. (2007). Comparative study of learning methods for artificial network. Pomiary Automatyka Kontrola, 4, 117‒121.
DOI: https://doi.org/10.2478/foli-2018-0025 | Journal eISSN: 1898-0198 | Journal ISSN: 1730-4237
Language: English
Page range: 159 - 177
Submitted on: Jun 16, 2018
Accepted on: Nov 5, 2018
Published on: Dec 31, 2018
Published by: University of Szczecin
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2018 Paweł Kaczmarczyk, published by University of Szczecin
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.