Evolutionary Framework with Bidirectional Long Short-Term Memory Network for Stock Price Prediction

Table 1

The structure of EBiLSTM and hyperparameter.

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Input: real closing price (20 days)

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[Layer1] internal cells (32) (BiLSTM | LSTM | GRU | RNN)

Output: predicted price in the next day

Hyperparameter: lr = 0.00001, epoch = 150, and timestep = 21

Survived parents number

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