Statements (26)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:activatedBy |
sign function
|
| gptkbp:application |
error correction
pattern recognition content-addressable memory |
| gptkbp:convergesTo |
stable states
|
| gptkbp:energyFunction |
gptkb:Lyapunov_function
|
| gptkbp:introducedIn |
1982
|
| gptkbp:inventedBy |
gptkb:John_Hopfield
|
| gptkbp:namedAfter |
gptkb:John_Hopfield
|
| gptkbp:neuronsAre |
binary
|
| gptkbp:RAM |
approximately 0.15N for N neurons
|
| gptkbp:relatedTo |
gptkb:Ising_model
gptkb:Boltzmann_machine |
| gptkbp:roadType |
gptkb:recurrent_neural_network
|
| gptkbp:selfConnections |
not allowed
|
| gptkbp:stateSpace |
2^N possible states
|
| gptkbp:trainingRule |
gptkb:Hebbian_learning
|
| gptkbp:updateRule |
asynchronous
synchronous |
| gptkbp:usedFor |
optimization
associative memory |
| gptkbp:weightsAre |
symmetric
|
| gptkbp:bfsParent |
gptkb:continuous_Hopfield_network
|
| gptkbp:bfsLayer |
8
|
| https://www.w3.org/2000/01/rdf-schema#label |
discrete Hopfield network
|