recurrent neural network (RNN) (de.: rückgekoppeltes neuronales Netz)

Neural network in which inputs from a current layer are fed into a previous layer.

ETSI GR ENI 004 ANN that is connected between nodes form a directed graph across a temporal sequence.

Note: RNNs contain cyclic connections that make them effective in storing history and state. This is done by using feedback loops in the processing of an output.

ISO/IEC DIS 22989 neural network (3.3.7) in which outputs from both the previous layer and the previous processing step are fed into the current layer

@misc{aiglossary_recurrentneuralnetworkRNN_90s0ld,
author = {{AI-Glossary.org}},
title = {{recurrent neural network (RNN)}},
howpublished = "https://www.ai-glossary.org/index.php?p=90s0ld\&l=en",
year = "2024",
note = "online, accessed: 2024-11-21" }