. This study proposes a novel CNN-LSTM neural network that can extract potential features from sample data to effectively … predictive accuracy of the model. The CNN-LSTM model, with the inclusion of EPU, IDEMV, and both, achieves a high prediction … accuracy. Additionally, the overall prediction accuracy of the CNN-LSTM model outperforms the other proposed methods. The …

investigates the performance drivers of hybrid CNN-LSTM architectures, coupled with an evolving algorithm for optimizing network …