"""A forecasting model that uses a single LSTM sequence with multiple embedding layers. This is a forecasting model that uses a single sequential (LSTM) model that rolls out through both the hindcast ...

6 种用 LSTM 做时间序列预测的模型结构 - Keras 实现 LSTM(Long Short Term Memory Network)长短时记忆网络，是一种改进之后的循环神经网络，可以解决 RNN 无法处理长距离的依赖的问题，在时间序列预测问题上面也有广泛的应用。 今天我们根据问题的输入输出模式划分 ...

Vanilla LSTM, Stacked LSTM, and Bidirectional LSTM (Bi-LSTM) is conducted. LSTM networks can learn long-term dependency. They are used for the analysis of sequential data such as time series, speech, ...

Recently, learning-based approaches are promising in plasma evolution prediction. However, existing models usually employ LSTM and CNN1d to predict limited plasma parameters, which may not effectively ...