Accordingly, our approach differs from the previous deep learning models in that: (i) Implementing feature importance using wrapper and hybrid methods, optimal lag and number of layers selection for LSTM model using GA enabled us to prevent overfitting and resulted in more accurate and stable ...
The PANFIS method also has high complexity in terms of programming language and parameters selection that would be another challenge to embed the proposed method into the real-time application, for example, using LabVIEW. The limitations of the proposed method are the requirement of sufficient ...