Using Artificial Neural Networks for Timeseries Smoothing and Forecasting - Case Studies in Economics (Paperback, 1st ed. 2021)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 979
Release date:	September 2022
First published:	2021
Authors:	Jaromir Vrbka
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	189
Edition:	1st ed. 2021
ISBN-13:	978-3-03-075651-2
Categories:	Books > Business & Economics > Economics > Econometrics > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-075651-3
Barcode:	9783030756512

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