Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...

Deep learning with ability to feature learning and nonlinear function approximation has shown its effectiveness for machine fault prediction. While, how to transfer a deep network trained by ...

The goal of learning is to train the network to reconstruct the input of the network. The autoencoder captures the salient features and removes the correlated features by mapping the input data to a ...

The goal of learning is to train the network to reconstruct the input of the network. The autoencoder captures the salient features and removes the correlated features by mapping the input data to a ...

For an autoencoder anomaly detection system, model overfitting is characterized by a situation where all reconstructed inputs match the source inputs very closely, and therefore all reconstruction ...