Statements (22)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:algorithm
learning rule |
| gptkbp:category |
unsupervised learning algorithm
|
| gptkbp:field |
gptkb:machine_learning
computational neuroscience neural networks |
| gptkbp:form |
Δw = η y (x - y w)
|
| https://www.w3.org/2000/01/rdf-schema#label |
Oja's rule
|
| gptkbp:namedAfter |
gptkb:Erkki_Oja
|
| gptkbp:prevention |
unbounded growth of synaptic weights
|
| gptkbp:proposedBy |
gptkb:Erkki_Oja
1982 |
| gptkbp:purpose |
gptkb:principal_component_analysis
unsupervised learning |
| gptkbp:relatedTo |
Hebbian learning rule
Sanger's rule |
| gptkbp:usedFor |
dimensionality reduction
feature extraction |
| gptkbp:usedIn |
single-layer neural networks
|
| gptkbp:variant |
gptkb:Hebbian_learning
|
| gptkbp:bfsParent |
gptkb:Erkki_Oja
|
| gptkbp:bfsLayer |
7
|