Practical forecasting of risk boundaries for industrial metals and critical minerals via statistical machine learning techniques
Insu Choi, Woo Chang Kim
| Year of publication: |
2024
|
|---|---|
| Authors: | Choi, Insu ; Kim, Woo Chang |
| Subject: | Critical mineral | Explainable artificial intelligence (xAI) | Industrial metal | Information theory | Risk boundaries | Statistical dependency | Künstliche Intelligenz | Artificial intelligence | Metallindustrie | Metal industry | Metallmarkt | Metal market | Rohstoffvorkommen | Resource deposit | Mineral |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.irfa.2024.103252 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014543952