Retail Demand Forecasting using CNN-LSTM Model
Author:
Affiliation:
1. Sri Ramakrishna Engineering College,Electronics and Communication Engineering,Coimbatore,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751779/9751722/09752283.pdf?arnumber=9752283
Reference16 articles.
Cited by 4 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. Demand Forecasting for Daily Retail Orders in Fresh Food Market;2023 4th International Informatics and Software Engineering Conference (IISEC);2023-12-21
2. Transfer learning-based multiple digital twin-assisted intelligent mechanical fault diagnosis;Measurement Science and Technology;2023-11-22
3. Predictive modeling of aircraft tyre demand using a hybrid CNN-LSTM architecture;2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT);2023-04-05
4. A Web-based Real-time Sales Data Analysis using LSTM Model for Better Insight;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17
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