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Using artificial neural networks for...

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Using artificial neural networks for timeseries smoothing and forecastingcase studies in economics /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using artificial neural networks for timeseries smoothing and forecastingby Jaromir Vrbka.
其他題名:	case studies in economics /
作者:	Vrbka, Jaromir.
出版者:	Cham :Springer International Publishing :2021.
面頁冊數:	x, 189 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Time-series analysis.
電子資源:	https://doi.org/10.1007/978-3-030-75649-9
ISBN:	9783030756499

Using artificial neural networks for timeseries smoothing and forecastingcase studies in economics /
Vrbka, Jaromir.

Using artificial neural networks for timeseries smoothing and forecastingcase studies in economics /[electronic resource] :by Jaromir Vrbka. - Cham :Springer International Publishing :2021. - x, 189 p. :ill., digital ;24 cm. - Studies in computational intelligence,v.9791860-9503 ;. - Studies in computational intelligence ;v. 216..

Time series and their importance to the economy -- Econometrics - selected models -- Artificial neural networks - selected models -- Comparison of different methods -- Conclusion.

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.

ISBN: 9783030756499

Standard No.: 10.1007/978-3-030-75649-9doiSubjects--Topical Terms:

181890
Time-series analysis.

LC Class. No.: QA280 / .V73 2021

Dewey Class. No.: 519.55

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