Statements (23)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Learning Algorithm
|
| gptkbp:alsoKnownAs |
Widrow-Hoff rule
|
| gptkbp:appliesTo |
Single-layer Networks
|
| gptkbp:basisFor |
Backpropagation Algorithm
|
| gptkbp:category |
Gradient Descent Method
|
| gptkbp:field |
gptkb:Machine_Learning
gptkb:artificial_intelligence |
| https://www.w3.org/2000/01/rdf-schema#label |
Delta Rule
|
| gptkbp:introduced |
gptkb:Marcian_Hoff
gptkb:Bernard_Widrow |
| gptkbp:introducedIn |
1960
|
| gptkbp:notRecommendedFor |
Non-differentiable Activation Functions
|
| gptkbp:reduces |
gptkb:Mean_Squared_Error
|
| gptkbp:relatedTo |
Backpropagation
Perceptron Learning Rule |
| gptkbp:requires |
Differentiable Activation Function
|
| gptkbp:updated |
Weights
|
| gptkbp:updateFormula |
w_new = w_old + η (target - output) x
|
| gptkbp:usedFor |
Supervised Learning
|
| gptkbp:usedIn |
gptkb:Perceptron
gptkb:Artificial_Neural_Networks |
| gptkbp:bfsParent |
gptkb:Adaptive_Linear_Neuron
|
| gptkbp:bfsLayer |
8
|