A machine learning approach to forecast international trade : the case of Croatia
Year of publication: |
2022
|
---|---|
Authors: | Jošić, Hrvoje ; Žmuk, Berislav |
Published in: |
Business systems research : a system view accross technology & economics : the journal of Society for Advancing Innovation and Research in Economy. - Warsaw : De Gruyter, Versita, ISSN 1847-9375, ZDB-ID 2759390-3. - Vol. 13.2022, 3, p. 144-160
|
Subject: | machine learning | WEKA | international trade | MAPE | Multilayer perceptron | Croatia | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Kroatien | Außenhandel | Foreign trade |
Type of publication: | Article |
---|---|
Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
Language: | English |
Other identifiers: | 10.2478/bsrj-2022-0030 [DOI] |
Classification: | b17 ; C45 - Neural Networks and Related Topics |
Source: | ECONIS - Online Catalogue of the ZBW |
-
Tänzer, Alina, (2024)
-
Machine learning methods in finance : recent applications and prospects
Hoang, Daniel, (2022)
-
Usage of neural-based predictive modeling and IIoT in wind energy applications
Buturache, Adrian-Nicolae, (2021)
- More ...
-
Intra-industry trade in Croatia : trends and determinants
Jošić, Hrvoje, (2020)
-
Does high population density catalyze the spread of COVID-19?
Žmuk, Berislav, (2020)
-
Jošić, Hrvoje, (2021)
- More ...