Li, Min and Liao, Weize and Huang, Jianrong and Jiang, Jiebo (2024) Stock Prediction Based on LSTM. In: Proceedings of the 5th Management Science Informatization and Economic Innovation Development Conference, MSIEID 2023, December 8–10, 2023, Guangzhou, China.
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Abstract
Stock market forecasting based on Long Short-Term Memory networks (LSTMs) is a prevalent technique within the realms of Natural Language Processing and time-series analysis. Predicting stock market trends is widely acknowledged to be a highly intricate task, attributed to the multifaceted influences
| Item Type: | Conference or Workshop Item (UNSPECIFIED) |
|---|---|
| Date Deposited: | 04 Mar 2026 17:30 |
| Last Modified: | 16 Apr 2026 23:56 |
| URI: | http://eprints.eai.eu/id/eprint/48599 |
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