An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements
| Year of publication: |
2024
|
|---|---|
| Authors: | Jana, Rabin K. ; Ghosh, Indranil ; Kumar, P. N. Ram |
| Published in: |
Journal of the Operational Research Society. - London : Taylor and Francis, ISSN 1476-9360, ZDB-ID 2007775-0. - Vol. 75.2024, 8, p. 1569-1586
|
| Subject: | ensemble machine learning | explainable AI | fertilizer price | Forecasting | time series | Künstliche Intelligenz | Artificial intelligence | Prognoseverfahren | Forecasting model | Zeitreihenanalyse | Time series analysis | Düngemittelmarkt | Fertilizer market |
-
Suppawong Tuarob, (2021)
-
Temporal fusion transformers for interpretable multi-horizon time series forecasting
Lim, Bryan, (2021)
-
Statistical, machine learning and deep learning forecasting methods : comparisons and ways forward
Makridakis, Spyros G., (2023)
- More ...
-
On the usage of Lagrangean Relaxation for the convoy movement problem
Kumar, P. N. Ram, (2011)
-
He, Peiyang, (2022)
-
Anilkumar, E. N., (2022)
- More ...