Trends in education, 2013 (vol. 6), issue 1

TVV 2013, 6(1):349-352

MODERN METHODS OF DATA ANALYSIS AND MODELING

URBANÍKOVÁ Marta
Ústav manažmentu a informačních technológií,, Fakulta prírdných vied UKF Nitra,Trieda Andreja Hlinku 1, 94901 Nitra, SR

With the developing information technologies are closely linked modern methods of data analysis and systems modeling based on the theory of neural networks, genetic algorithms and fuzzy logic. The aim of this paper is to characterize this theories and their applicability in the areas of business processes, finance and macroeconomic analysis.

Keywords: information and communication technology, neural network, genetic algorithm, fuzzy logic

Published: July 1, 2013  Show citation

ACS AIP APA ASA Harvard Chicago Chicago Notes IEEE ISO690 MLA NLM Turabian Vancouver
URBANÍKOVÁ, M. (2013). MODERN METHODS OF DATA ANALYSIS AND MODELING. Trends in education6(1), 349-352
Download citation

References

  1. DOSTÁL, P. Pokročilé metody analýz a modelování v podnikatelství a veřejné správě. Brno: Akademické nakladatelstvý CERM 2008. ISBN 978-80-7204-605-8.
  2. FANTA, J. Neurónové sítě ve společenských vědách. Praha: Univerzita Karlova v Praze, Nakladatelstvý Karolinum. 2000. ISBN 80-246-0175-3.
  3. KAMRUZZAMAN, J., BEGG, R., SARKER, R. Artifical Neural Networks in Finance and Manufacturing. Idea Group Publishing.2006 ISBN 1-59140-672-2. Go to original source...
  4. MILLER,R.M. Computer Aided Financial Analysis. Addison-Wesley 1990, ISBN 0-20112337-1.
  5. SKŘIVÁNKOVÁ, V., SKŘIVÁNEK, J.. Kvantitatívne metódy finančných operácií. Bratislava, IURA Edition. 2006. ISBN 80-8078-074-9
  6. ŠPIRKOVÁ, J. Actuarial Functions in Second Pillar Pension Applications of Mathematics and Statistics in Economy Proceedings August 26-29, 2010, Demänovská Dolina, Slovakia, 360-372, ISBN 978-80-89438-02-0

This is an open access article distributed under the terms of the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0), which permits use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.