Radial Basis Function Network
GPTKB entity
Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:convolutional_neural_network
|
| gptkbp:abbreviation |
gptkb:RBF_Network
|
| gptkbp:activatedBy |
radial basis function
|
| gptkbp:application |
gptkb:diagnosis
gptkb:signal_processing control systems speech recognition image recognition time series prediction system identification |
| gptkbp:architecture |
hidden layer
input layer output layer |
| gptkbp:category |
shallow neural network
|
| gptkbp:commonActivationFunction |
Gaussian function
inverse multiquadric function multiquadric function |
| gptkbp:differenceFromMLP |
faster training for some problems
typically has one hidden layer uses localized activation functions |
| gptkbp:field |
gptkb:artificial_intelligence
gptkb:machine_learning pattern recognition data mining |
| gptkbp:hiddenLayerFunction |
applies radial basis function
|
| gptkbp:inputLayerFunction |
passes input to hidden layer
|
| gptkbp:introducedIn |
1988
|
| gptkbp:inventedBy |
gptkb:David_Lowe
gptkb:David_Broomhead |
| gptkbp:learningAlgorithm |
gradient descent
k-means clustering least squares |
| gptkbp:output |
continuous
discrete |
| gptkbp:outputLayerFunction |
linear combination of hidden layer outputs
|
| gptkbp:parameter |
gptkb:center
weight width |
| gptkbp:relatedTo |
support vector machine
k-means clustering multilayer perceptron |
| gptkbp:trainer |
supervised learning
unsupervised learning |
| gptkbp:usedFor |
gptkb:dictionary
function approximation regression |
| gptkbp:bfsParent |
gptkb:Radial_Basis_Function
gptkb:Neural_Networks |
| gptkbp:bfsLayer |
7
|
| https://www.w3.org/2000/01/rdf-schema#label |
Radial Basis Function Network
|