LSTM Neural Network

Definition

LSTM (Long Short-Term Memory) is a specialized recurrent neural network (RNN) architecture that effectively addresses the vanishing gradient problem of traditional RNNs through gated mechanisms, excelling at processing and predicting time-series data. In the aerospace domain, LSTM is applied to orbital state prediction, sensor data anomaly detection, space weather forecasting, and other tasks requiring long-term temporal modeling.

Note: This entry is being developed.