Unlike standard feedforward neural networks, LSTM has feedback connections. Such a recurrent neural network (RNN) can process not only single data points (such as images), but also entire sequences of data (such as speech or video). This characteristic makes LSTM networks ideal for processing and predicting data
| Framework | MITRE D3FEND |
| Ontology URI | d3f:LongShort-termMemory |
| Local Identifier | LongShort-termMemory |
| Publication Status | Exists in ontology only |