Using Artificial Neural Networks for Timeseries Smoothing and Forecasting: Case

Description: Using Artificial Neural Networks for Timeseries Smoothing and Forecasting by Jaromír Vrbka 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. FORMAT Hardcover LANGUAGE English CONDITION Brand New Publisher 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. Back Cover 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 Time series and their importance to the economy.- Econometrics – selected models.- Artificial neural networks – selected models.- Comparison of different methods.- Conclusion. Feature 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 Details ISBN3030756483 Short Title Using Artificial Neural Networks for Timeseries Smoothing and Forecasting Series Studies in Computational Intelligence Language English Year 2021 ISBN-10 3030756483 ISBN-13 9783030756482 Format Hardcover Subtitle Case Studies in Economics DOI 10.1007/978-3-030-75649-9 Series Number 979 Publisher Springer Nature Switzerland AG Edition 1st Imprint Springer Nature Switzerland AG Place of Publication Cham Country of Publication Switzerland Pages 189 Publication Date 2021-09-05 UK Release Date 2021-09-05 Illustrations 166 Illustrations, color; 19 Illustrations, black and white; X, 189 p. 185 illus., 166 illus. in color. Author Jaromír Vrbka Edition Description 1st ed. 2021 Alternative 9783030756512 DEWEY 330.028563 Audience Professional & Vocational We've got this At The Nile, if you're looking for it, we've got it. With fast shipping, low prices, friendly service and well over a million items - you're bound to find what you want, at a price you'll love! TheNile_Item_ID:134330775;

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