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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting by Jaromir Vrbka
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Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Case Studies in Economics
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Description

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.
Release date NZ
September 6th, 2022
Author
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Edition
1st ed. 2021
Illustrations
166 Illustrations, color; 19 Illustrations, black and white; X, 189 p. 185 illus., 166 illus. in color.
Pages
189
ISBN-13
9783030756512
Product ID
35989008

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