Commodity demand forecasting based on multimodal data and recurrent neural networks for E-commerce platforms.
Cunbing LiPublished in: Intell. Syst. Appl. (2024)
Keyphrases
- multi modal
- recurrent neural networks
- multimodal data
- demand forecasting
- cross modal
- multiple modalities
- historical data
- neural network
- supply chain
- feed forward
- multimedia databases
- artificial neural networks
- similarity search
- forecasting accuracy
- data mining
- pattern recognition
- support vector
- echo state networks
- back propagation
- knowledge discovery
- expert systems
- support vector regression
- similarity measure
- multimedia
- machine learning