Studies in Computational Intelligence

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Case Studies in Economics

Authors: Vrbka, Jaromír

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  • Gives a survey of artificial neural networks that are suitable for timeseries smoothing and forecasting
  • Offers case studies that can help the users (students, financial experts etc.) to understand the way of using artificial networks, its advantages and disadvantages
  • The results of the case studies are compared with classic statistic methods including the way of calculation, accuracy of results and their limitations
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About this book

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.

Table of contents (5 chapters)

Table of contents (5 chapters)

Buy this book

eBook $109.00
price for USA in USD
  • ISBN 978-3-030-75649-9
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.99
price for USA in USD
  • ISBN 978-3-030-75648-2
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Book Subtitle
Case Studies in Economics
Authors
Series Title
Studies in Computational Intelligence
Series Volume
979
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-75649-9
DOI
10.1007/978-3-030-75649-9
Hardcover ISBN
978-3-030-75648-2
Series ISSN
1860-949X
Edition Number
1
Number of Pages
X, 189
Number of Illustrations
19 b/w illustrations, 166 illustrations in colour
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