Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:activatedBy |
sigmoid function
tanh function |
| gptkbp:convergesTo |
stable equilibrium
|
| gptkbp:developedBy |
gptkb:John_Hopfield
|
| gptkbp:dynamics |
continuous-time
|
| gptkbp:energyFunction |
gptkb:Lyapunov_function
|
| gptkbp:field |
gptkb:machine_learning
computational neuroscience optimization theory |
| gptkbp:form |
partial differential equations
|
| https://www.w3.org/2000/01/rdf-schema#label |
continuous Hopfield network
|
| gptkbp:input |
continuous values
|
| gptkbp:introducedIn |
1984
|
| gptkbp:memoryType |
content-addressable memory
|
| gptkbp:output |
continuous values
|
| gptkbp:relatedTo |
gptkb:discrete_Hopfield_network
|
| gptkbp:roadType |
recurrent neural network
|
| gptkbp:stable |
guaranteed under symmetric weights
|
| gptkbp:usedFor |
optimization
associative memory |
| gptkbp:bfsParent |
gptkb:Hopfield_network
|
| gptkbp:bfsLayer |
6
|