Consequently, building deep learning models for Few-Shot Learning (FSL) in the HCR has become a challenge for researchers. The precise meaning of FSL is the cases in which only a few training samples are available to build a model6,7. It is considered a simulation for the human brain’s ...
The traditional methods are trained based on the historical data of 𝑦𝑛yn and predict the future production data, meaning that the model is trained on the dataset with few samples. The traditional deep learning methods contain three models: RNN, LSTM, and BiLSTM. The relationships between ...