Radial Basis Function Network

GPTKB entity

Predicate	Object
gptkbp:instanceOf	gptkb:convolutional_neural_network
gptkbp:abbreviation	gptkb:RBF_Network
gptkbp:activatedBy	radial basis function
gptkbp:application	gptkb:signal_processing control systems speech recognition diagnosis 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
https://www.w3.org/2000/01/rdf-schema#label	Radial Basis Function Network
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:convolutional_neural_network
gptkbp:bfsLayer	5