Uses of Class
org.apache.commons.math3.ml.neuralnet.Network
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Packages that use Network Package Description org.apache.commons.math3.ml.neuralnet Neural networks.org.apache.commons.math3.ml.neuralnet.oned One-dimensional neural networks.org.apache.commons.math3.ml.neuralnet.sofm Self Organizing Feature Map.org.apache.commons.math3.ml.neuralnet.twod Two-dimensional neural networks. -
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Uses of Network in org.apache.commons.math3.ml.neuralnet
Methods in org.apache.commons.math3.ml.neuralnet that return Network Modifier and Type Method Description Network
Network. copy()
Performs a deep copy of this instance.Methods in org.apache.commons.math3.ml.neuralnet with parameters of type Network Modifier and Type Method Description static double
MapUtils. computeTopographicError(java.lang.Iterable<double[]> data, Network net, DistanceMeasure distance)
Computes the topographic error.void
UpdateAction. update(Network net, double[] features)
Updates the network in response to the samplefeatures
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Uses of Network in org.apache.commons.math3.ml.neuralnet.oned
Methods in org.apache.commons.math3.ml.neuralnet.oned that return Network Modifier and Type Method Description Network
NeuronString. getNetwork()
Retrieves the underlying network. -
Uses of Network in org.apache.commons.math3.ml.neuralnet.sofm
Methods in org.apache.commons.math3.ml.neuralnet.sofm with parameters of type Network Modifier and Type Method Description void
KohonenUpdateAction. update(Network net, double[] features)
Updates the network in response to the samplefeatures
.Constructors in org.apache.commons.math3.ml.neuralnet.sofm with parameters of type Network Constructor Description KohonenTrainingTask(Network net, java.util.Iterator<double[]> featuresIterator, KohonenUpdateAction updateAction)
Creates a (sequential) trainer for the given network. -
Uses of Network in org.apache.commons.math3.ml.neuralnet.twod
Methods in org.apache.commons.math3.ml.neuralnet.twod that return Network Modifier and Type Method Description Network
NeuronSquareMesh2D. getNetwork()
Retrieves the underlying network.
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