Stock prediction based on random forest and LSTM neural network

Author:

Ma Yilin,Han Ruizhu,Fu Xiaoling

Publisher

IEEE

Cited by 16 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. News-driven stock market index prediction based on trellis network and sentiment attention mechanism;Expert Systems with Applications;2024-09

2. PCA-ICA-LSTM: A Hybrid Deep Learning Model Based on Dimension Reduction Methods to Predict S&P 500 Index Price;Computational Economics;2024-05-28

3. Contextualizing injury severity from occupational accident reports using an optimized deep learning prediction model;PeerJ Computer Science;2024-04-17

4. Prediction of Stock Trend Using Random Forest Optimization;2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation (ICAMIMIA);2023-11-14

5. Applying Random Forest Algorithm and Mean-Variance Model in Portfolio Optimization in the China Stock Market;2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE);2023-10-27

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