A comparative study of time series, machine learning, and deep learning models for forecasting global price of wheat
Abhishek Yadav
| Year of publication: |
2024
|
|---|---|
| Authors: | Yadav, Abhishek |
| Published in: |
Operations research forum. - Cham : Springer International Publishing, ISSN 2662-2556, ZDB-ID 2978290-9. - Vol. 5.2024, 4, Art.-No. 113, p. 1-24
|
| Subject: | ARIMA | Artificial Intelligence | Economic events | Forecasting | LSTM | Machine learning | Time series | Wheat prices | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Weizenpreis | Wheat price | ARMA-Modell | ARMA model | Weizen | Wheat |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s43069-024-00395-9 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015182084