Open Access
| Issue |
SHS Web Conf.
Volume 39, 2017
Innovative Economic Symposium 2017 (IES2017)
|
|
|---|---|---|
| Article Number | 01032 | |
| Number of page(s) | 8 | |
| Section | Strategic Partnerships in International Trade | |
| DOI | https://doi.org/10.1051/shsconf/20173901032 | |
| Published online | 06 December 2017 | |
- S. Shi, W. Liu, M. Jin, Share Price Predicting Using a Hybrid ARMA and BP Neural Network and Markov Model. Proceedings of the 14th International Conference on Communication Technology, Chengdu, China, 981–985 (2012) [Google Scholar]
- T. Ravichandra, T., Ch. Thingom, Share Price Predicting Using ANN Method. Information Systems Design and Intelligent Applications. Information Systems Design and Intelligent Applications, Advances in Intelligent Systems and Computing – Proceedings of Third International Conference INDIA 2016, 599–605 (2016) [Google Scholar]
- Ch. Chen, Ch. Kuo, S., Y. Chou, Dynamic Normalization BPN for Share Price Forecasting. Proceedings of the 2015 IEEE International Conference on Systems, Man and Cybernetics, 2855–2860, (2015) [CrossRef] [Google Scholar]
- D. Sánchez, P. Melin, Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration. In: Design of Intelligent Systems Based on Fuzzy Logic, Neural Networks and Nature-Inspired Optimization, Studies in Computational Intelligence, 601, 141–145 (2015) [Google Scholar]
- E. Guresen, G. Kayakutlu, Definition of artificial neural networks with comparison to other networks. Procedia Computer Science, 3, 426–433 (2013) [Google Scholar]
- D. Santin, On the approximation of production functions: a comparison of artificial neural networks frontiers and efficiency techniques. Applied Economics Letters, 15 (8), 597–600 (2015) [Google Scholar]
- M. Vochozka, Z. Rowland, V. Stehel, P. Šuleř, J. Vrbka, Cost modelling of the company using neural networks [Modelování nákladů podniku pomocí neuronových sítí]. 1st ed. Czech Republic, České Budějovice: Institute of Technology and Business, (2016) [Google Scholar]
- P. Šuleř, Cash Management of a Company Using Neural Networks. Littera Scripta, 9 (3), 125–140 (2016) [Google Scholar]
- P. Šuleř, Optimizing the capital structure of the company to maximize its profits by using neural networks on the example of building companies. Mathematical Modelling in Economics [Математичне моделювання в економіці], 7(3-4) (2016) [Google Scholar]
- M. S. Hossain, Z. Ch. Ong, Z. Ismail, S. Noroozi, S. Y. Khoo, Artificial neural networks for vibration based inverse parametric identifications: A review. Applied Soft Computing, 52, 203–219 (2017) [CrossRef] [Google Scholar]
- B. Wu, T. Duan, A Performance Comparison of Neural Networks in Forecasting Stock Price Trend. International Journal of Computational Intelligence Systems, 10 (1), 336–346 (2017) [CrossRef] [Google Scholar]
- J. Zheng, Forecast of Opening Share Price Based on Elman Neural Network. Chemical Engineering Transactions, 46, 565–570 (2015) [Google Scholar]
- L. Laboissiere, A. Leonel, A. S. R. Fernandes, G. Lage, Maximum and minimum share price forecasting of Brazilian power distribution companies based on artificial neural networks. Applied Soft Computing, 35, 66–74 (2015) [CrossRef] [Google Scholar]
- J. Sen, K. Arup, Artificial Neural Network Model for Predicting the Share Price of Indian IT Company. Proceedings of the 2nd International Conference on Soft Computing for Problem Solving, Jaipur, India, 1153–1159 (2014) [Google Scholar]
- ČEZ, ČEZ, a.s. – about company [online], Available at: https://www.cez.cz/cs/o-spolecnosti/cez/profil-spolecnosti.html (2017) [Google Scholar]
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