Using Artificial Neural Networks for Timeseries Smoothing and Forecasting

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Author :
Publisher : Springer Nature
Total Pages : 197
Release :
ISBN-10 : 9783030756499
ISBN-13 : 3030756491
Rating : 4/5 (99 Downloads)

Book Synopsis Using Artificial Neural Networks for Timeseries Smoothing and Forecasting by : Jaromír Vrbka

Download or read book Using Artificial Neural Networks for Timeseries Smoothing and Forecasting written by Jaromír Vrbka and published by Springer Nature. This book was released on 2021-09-04 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


Using Artificial Neural Networks for Timeseries Smoothing and Forecasting Related Books

Using Artificial Neural Networks for Timeseries Smoothing and Forecasting
Language: en
Pages: 197
Authors: Jaromír Vrbka
Categories: Technology & Engineering
Type: BOOK - Published: 2021-09-04 - Publisher: Springer Nature

DOWNLOAD EBOOK

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
Artificial Intelligence and Soft Computing
Language: en
Pages: 637
Authors: Rutkowski Leszek
Categories: Computers
Type: BOOK - Published: 2013-05-16 - Publisher: Springer

DOWNLOAD EBOOK

The two-volume set LNAI 7894 and LNCS 7895 constitutes the refereed proceedings of the 12th International Conference on Artificial Intelligence and Soft Computi
Forecasting: principles and practice
Language: en
Pages: 380
Authors: Rob J Hyndman
Categories: Business & Economics
Type: BOOK - Published: 2018-05-08 - Publisher: OTexts

DOWNLOAD EBOOK

Forecasting is required in many situations. Stocking an inventory may require forecasts of demand months in advance. Telecommunication routing requires traffic
Non-Linear Time Series
Language: en
Pages: 255
Authors: Kamil Feridun Turkman
Categories: Mathematics
Type: BOOK - Published: 2014-09-29 - Publisher: Springer

DOWNLOAD EBOOK

This book offers a useful combination of probabilistic and statistical tools for analyzing nonlinear time series. Key features of the book include a study of th
Deep Learning for Time Series Forecasting
Language: en
Pages: 572
Authors: Jason Brownlee
Categories: Computers
Type: BOOK - Published: 2018-08-30 - Publisher: Machine Learning Mastery

DOWNLOAD EBOOK

Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of te