This project shows how to find anomalies in financial time series data, specifically the stock values of Apple (AAPL), using a LSTM Autoencoder. Stock price anomalies may be a sign of major market ...

Abstract: Rolling bearings are important components in transmission systems, and the fault prognosis for them is crucial for the maintenance transition from prevention to prediction. However, previous ...

Abstract: In this paper, a pre-sorted autoencoder-based prediction algorithm, named PSAE, was proposed to solve dynamic multiobjective optimization problems (DMOPs). Since transfer learning enables ...