Multi-target CNN-LSTM regressor for predicting urban distribution of short-term food delivery demand
Year of publication: |
2022
|
---|---|
Authors: | Crivellari, Alessandro ; Beinat, Euro ; Caetano, Sandor ; Seydoux, Arnaud ; Cardoso, Thiago |
Published in: |
Journal of business research : JBR. - New York, NY : Elsevier, ISSN 0148-2963, ZDB-ID 189773-1. - Vol. 144.2022, p. 844-853
|
Subject: | Customer behavior | Deep learning | Food delivery | Recurrent neural networks | Urban modeling | Neuronale Netze | Neural networks | Prognoseverfahren | Forecasting model | Konsumentenverhalten | Consumer behaviour | Theorie | Theory | Lebensmittel | Food |
-
Forex exchange rate forecasting using deep recurrent neural networks
Dautel, Alexander Jakob, (2020)
-
Multivariate CDS risk premium prediction with SOTA RNNs on MI[N]T countries
Kutuk, Yasin, (2022)
-
Investment portfolio optimization based on modern portfolio theory and deep learning models
Wysocki, Maciej, (2022)
- More ...
-
Model-structuring in public decision-aiding
Costa, Carlos A. Bana e, (2005)
-
Environmental rehabilitation : efficiency and effectiveness in soil remediation
Beinat, Euro, (1997)
-
Land use planning and sustainable development
Beinat, Euro, (1997)
- More ...