A combinatorial deep learning and deep prophet memory neural network method for predicting seasonal product consumption in retail supply chains
Year of publication: |
2025
|
---|---|
Authors: | Ahmad, Ahmad Y. A. Bani ; Ali, Mokshed ; Namdev, Arpit ; Meenakshisundaram, K. S. ; Gupta, Ankur ; Pramanik, Sabyasachi |
Published in: |
Essential information systems service management. - Hershey, PA : IGI Global, ISBN 979-8-3693-4227-5. - 2025, p. 311-340
|
Subject: | Lieferkette | Supply chain | Neuronale Netze | Neural networks | Einzelhandel | Retail trade | Künstliche Intelligenz | Artificial intelligence | Saisonale Schwankungen | Seasonal variations | Prognoseverfahren | Forecasting model |
-
Bahrami, Maryam, (2022)
-
Forecasting Australian inbound tourism in light of data structure using deep learning
Herrera, Gabriel Paes, (2023)
-
Sousa, Martim, (2022)
- More ...
-
Alhawamdeh, Hamzeh, (2023)
-
Fraihat, Baha Aldeen Mohammad, (2023)
-
Macroeconomic determinants of renewable energy production in Jordan
AlKhawaldeh, Bashar Younis Subeih, (2024)
- More ...