Statements (31)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
Artificial Neural Network Model
|
| gptkbp:abbreviation |
gptkb:ADALINE
|
| gptkbp:activatedBy |
Linear
|
| gptkbp:field |
gptkb:Machine_Learning
gptkb:artificial_intelligence gptkb:Neural_Networks |
| gptkbp:hasComponent |
Weights
Activation Function Bias Learning Rule Summation Function |
| https://www.w3.org/2000/01/rdf-schema#label |
Adaptive Linear Neuron
|
| gptkbp:implementedIn |
gptkb:personal_computer
gptkb:software |
| gptkbp:influenced |
Development of modern neural networks
|
| gptkbp:input |
Continuous
|
| gptkbp:introducedIn |
1960
|
| gptkbp:inventedBy |
gptkb:Bernard_Widrow
gptkb:Ted_Hoff |
| gptkbp:learningRule |
gptkb:Least_Mean_Squares_(LMS)
|
| gptkbp:limitation |
Cannot solve non-linearly separable problems
|
| gptkbp:output |
Continuous
|
| gptkbp:relatedTo |
gptkb:Perceptron
gptkb:Multi-layer_Perceptron |
| gptkbp:trainingAlgorithm |
gptkb:Delta_Rule
|
| gptkbp:usedFor |
gptkb:Signal_Processing
gptkb:Pattern_Recognition Regression Classification |
| gptkbp:bfsParent |
gptkb:ADALINE
|
| gptkbp:bfsLayer |
7
|