C 2021

Comparison of different methods

VRBKA, Jaromír

Basic information

Original name

Comparison of different methods

Authors

VRBKA, Jaromír (203 Czech Republic, guarantor, belonging to the institution)

Edition

1. vyd. Cham, Švýcarsko, Using artificial neural networks for timeseries smoothing and forecasting: case studies in economics, p. 137-186, 50 pp. Studies in computational intelligence (979), 2021

Publisher

Springer Nature Switzerland AG

Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

50200 5.2 Economics and Business

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/75081431:_____/21:00002222

Organization unit

Institute of Technology and Business in České Budějovice

ISBN

978-3-030-75648-2

Keywords in English

neural networks; decisions tree; Gaussian process; linear regression; random forest

Tags

M_FIP_2, RIV21, SCOPUS
Změněno: 16/12/2021 13:34, Mgr. Nikola Petříková

Abstract

V originále

The author argues that predictors in this case are neural networks, the number of test examples is 1221 and the number of training examples is 2442.
Displayed: 24/12/2024 13:13