Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology-Reference-Cited by-同舟云学术

Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology

Published:2019 Issue: Volume: Page:462-474
ISSN:0302-9743
Container-title:Neural Information Processing
language:
Short-container-title:

Author:

Bandara Kasun,Shi Peibei,Bergmeir Christoph,Hewamalage Hansika,Tran Quoc,Seaman Brian

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-36718-3_39

Reference27 articles.

1. Springer Series in Statistics;Rob Hyndman,2008

2. Box, G.E.P., et al.: Time Series Analysis: Forecasting and Control. Wiley, Hoboken (2015)

3. Trapero, J.R., Kourentzes, N., Fildes, R.: On the identification of sales forecasting models in the presence of promotions. J. ORS 66, 299–307 (2015)

4. Borovykh, A., Bohte, S., Oosterlee, C.W.: Conditional time series forecasting with convolutional neural networks. arXiv [cs.AI] (2017)

5. Flunkert, V., Salinas, D., Gasthaus, J.: DeepAR: probabilistic forecasting with autoregressive recurrent networks. arXiv [cs.AI] (2017)

Cited by 79 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Product Demand Prediction with Spatial Graph Neural Networks;Applied Sciences;2024-08-09

2. Advanced E-Commerce Trend Prediction Software;2024 5th International Conference on Image Processing and Capsule Networks (ICIPCN);2024-07-03

3. Development of the Demand Forecasting and Product Recommendation Method to Support the Small and Medium Distribution Companies based on the Product Recategorization;Journal of Society of Korea Industrial and Systems Engineering;2024-06-30

4. Predicting sales and cross-border e-commerce supply chain management using artificial neural networks and the Capuchin search algorithm;Scientific Reports;2024-06-10

5. Forecasting e-commerce consumer returns: a systematic literature review;Management Review Quarterly;2024-05-21