Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Case Studies in Economics
(Sprache: Englisch)
The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in...
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Klappentext zu „Using Artificial Neural Networks for Timeseries Smoothing and Forecasting “
The aim of this publication is to identify and apply suitable methods for analysing and predicting the time series of gold prices, together with acquainting the reader with the history and characteristics of the methods and with the time series issues in general. Both statistical and econometric methods, and especially artificial intelligence methods, are used in the case studies. The publication presents both traditional and innovative methods on the theoretical level, always accompanied by a case study, i.e. their specific use in practice. Furthermore, a comprehensive comparative analysis of the individual methods is provided. The book is intended for readers from the ranks of academic staff, students of universities of economics, but also the scientists and practitioners dealing with the time series prediction. From the point of view of practical application, it could provide useful information for speculators and traders on financial markets, especially the commodity markets.Inhaltsverzeichnis zu „Using Artificial Neural Networks for Timeseries Smoothing and Forecasting “
Time series and their importance to the economy.- Econometrics - selected models.- Artificial neural networks - selected models.- Comparison of different methods.- Conclusion.
Bibliographische Angaben
- Autor: Jaromír Vrbka
- 2022, 1st ed. 2021, X, 189 Seiten, 166 farbige Abbildungen, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 3030756513
- ISBN-13: 9783030756512
Sprache:
Englisch
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