Statements (29)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
recurrent neural network
|
| gptkbp:activatedBy |
sign function
|
| gptkbp:application |
combinatorial optimization
error correction content-addressable memory |
| gptkbp:connectorType |
symmetric weights
|
| gptkbp:convergesTo |
stable state
|
| gptkbp:energyFunction |
gptkb:Lyapunov_function
|
| gptkbp:field |
gptkb:artificial_intelligence
computational neuroscience |
| gptkbp:form |
dynamical system
|
| https://www.w3.org/2000/01/rdf-schema#label |
Hopfield networks
|
| gptkbp:introducedIn |
1982
|
| gptkbp:learningRule |
gptkb:Hebbian_learning
|
| gptkbp:limitation |
limited storage capacity
spurious states |
| gptkbp:namedAfter |
gptkb:John_Hopfield
|
| gptkbp:relatedTo |
gptkb:Ising_model
Boltzmann machine |
| gptkbp:roadType |
fully connected
|
| gptkbp:state |
binary
continuous |
| gptkbp:updateRule |
asynchronous
synchronous |
| gptkbp:usedFor |
optimization
pattern recognition associative memory |
| gptkbp:bfsParent |
gptkb:Hebbian_learning
|
| gptkbp:bfsLayer |
6
|