A Hybrid TCN–BiLSTM–Attention Framework for Turboshaft Engine Performance Prediction
A hybrid model integrating a Temporal Convolutional Network, an attention mechanism, and a Bidirectional Long Short-Term Memory network is proposed for predicting turboshaft engine performance parameters, demonstrating that the model possesses excellent generalization performance and holds significant potential for pra...