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Conference Open access Jul 2026

A Review of Stock Forecasting Methods Based on Improved LSTM Series Models

This paper systematically reviews the research process for stock prediction based on improved LSTMs, elaborates on the different improved LSTMs and their drawbacks, and summarizes the principles, advantages, and disadvantages of the four models: PCA-LSTM, CNN-LSTM-Attention, BERT-Bi-LSTM, and Event LSTM-Attention.

Mengqi Li · 0 citations

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