Recurrent Neural Network

Description

Recurrent Nerual Networks (RNN) are a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic behavior.

Technical Details

Framework	MITRE D3FEND
Ontology URI	d3f:RecurrentNeuralNetwork
Local Identifier	RecurrentNeuralNetwork
Publication Status	Exists in ontology only

Relationships

Parent Tactics

D3A-DNNC Deep Neural Network Classification
Model Model

Child Concepts

D3A-GRU Gated Recurrent Unit
D3A-LSTM Long Short-term Memory

Related Techniques

D3A-CNN Convolutional Neural Network (Unpublished)
D3A-ANNC Artificial Neural Network Classification (Unpublished)
D3A-DNNC Deep Neural Network Classification (Unpublished)

D3FEND