Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics

@book{61881,
   author = {Vrbka, Jaromír},
   address = {Cham, Švýcarsko},
   edition = {1. vyd.},
   keywords = {Artificial neural networks; case studies; statistical experiments; financial management; decision models},
   howpublished = {tištěná verze "print"},
   language = {eng},
   location = {Cham, Švýcarsko},
   isbn = {978-3-030-75648-2},
   publisher = {Springer Nature Switzerland AG},
   title = {Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics},
   url = {https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook},
   year = {2021}
}

TY  - BOOK
ID  - 61881
AU  - Vrbka, Jaromír
PY  - 2021
TI  - Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics
VL  - Studies in computational intelligence (979)
PB  - Springer Nature Switzerland AG
CY  - Cham, Švýcarsko
SN  - 9783030756482
KW  - Artificial neural networks
KW  - case studies
KW  - statistical experiments
KW  - financial management
KW  - decision models
UR  - https://link.springer.com/book/10.1007%2F978-3-030-75649-9#authorsandaffiliationsbook
N2  - The aim of the author is to systematically introduce the issue of statistical tools that can be used in practice to solve economic issues. Emphasis is placed mainly on the application of artificial neural networks.
ER  - 

VRBKA, Jaromír. \textit{Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics}. Online. 1. vyd. Cham, Švýcarsko: Springer Nature Switzerland AG, 2021. 189 pp. Studies in computational intelligence (979). ISBN~978-3-030-75648-2. [citováno 2024-04-24]