Predicting and explaining pig iron production on charcoal blast furnaces : a machine learning approach
Marcio Salles Melo Lima, Enes Eryarsoy, Dursun Delen
| Year of publication: |
2021
|
|---|---|
| Authors: | Lima, Marcio Salles Melo ; Eryarsoy, Enes ; Delen, Dursun |
| Published in: |
INFORMS journal on applied analytics. - Catonsville, Md. : INFORMS, ISSN 2644-0865, ZDB-ID 2967741-5. - Vol. 51.2021, 3, p. 213-235
|
| Subject: | machine learning | pig iron production | blast furnace | predictive analytics | gradient boosting trees | sensitivity analysis | neural networks | regression | Künstliche Intelligenz | Artificial intelligence | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Stahlindustrie | Steel industry | Regressionsanalyse | Regression analysis | Sensitivitätsanalyse | Sensitivity analysis | Schweinehaltung | Pig farming |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/inte.2020.1058 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012596350