recurrent artificial neural network

C11476

concept

A recurrent artificial neural network is a type of neural network where connections form directed cycles, allowing information to persist over time and enabling the modeling of sequential or temporal data.

Try in SPARQL

All labels observed (7)

Label	Occurrences
recurrent neural network architecture	3
GRU unit	1
bidirectional LSTM variant	1
recurrent artificial neural network canonical	1
recurrent neural network model	1
sequence model	1
sequence modeling method	1

Description generation (CDg)

The one-sentence description above was generated by prompting gpt-5.1 with the class name and this instruction.

Instruction

generate a one-sentence description for a given conceptual class.
# Response Format
Return only the sentence: "Description: [one-sentence description of the conceptional class]"

Input

Class: recurrent artificial neural network

Generated description

A recurrent artificial neural network is a type of neural network where connections form directed cycles, allowing information to persist over time and enabling the modeling of sequential or temporal data.

Instances (8)

Instance	Via concept surface
John Hopfield surface form: Hopfield network	recurrent neural network model
Hopfield networks surface form: Hopfield network	—
Row LSTM	recurrent neural network architecture
Diagonal BiLSTM	bidirectional LSTM variant
LSTM networks surface form: LSTM network	recurrent neural network architecture
Unit 74455	GRU unit
GU	recurrent neural network architecture
recurrent neural networks	sequence model