Research on the Application of LSTM-SA-AdaBoost Hybrid Model in Stock Forecasting
To improve the fitting and accuracy of stock prediction, an improved deep neural network combined with AdaBoost model (LSTM-SA-AdaBoost) is proposed. The model feature engineering includes data cleaning, correlation analysis and normalization. The model uses simulated annealing algorithm to optimize...
| Published in: | Proceedings - 2023 5th International Conference on Applied Machine Learning, ICAML 2023 |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2023
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189242105&doi=10.1109%2fICAML60083.2023.00064&partnerID=40&md5=1470ba1a48a91ba346881aa01172feb9 |