Hybrid Long Short-Term Memory prediction model improved by particle swarm optimization with sine and cosine factors.
The Long Short-Term Memory network of deep learning neural network is widely used to predict stock price in financial field. In order to optimize the accuracy of stock price prediction by LSTM network, this paper firstly uses principal component analysis method to extract various influencing indexes...
| Publicado en: | SHS Web of Conferences Vol. 170; pp. 1 - 5 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
EDP Sciences
6/14/2023
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| Acceso en línea: | Ver este registro en EBSCOhost |