A C D E F G H I K L M N S T W X Y

S

setActivationFunction(ActivationFunctionModel) - Method in class network.DefaultNeuron

Set activation function

setActivationFunction(ActivationFunctionModel) - Method in class network.DefaultNeuronWithBias

Set activation function

setBias(double) - Method in class network.DefaultNeuronWithBias

Set bias

setColNumber(int) - Method in class topology.HexagonalTopology

Set number of columns

setColNumber(int) - Method in class topology.MatrixTopology

Set number of columns

setColNumber(int) - Method in interface topology.TopologyModel

Set number of columns

setDistanceFunction(MetricModel) - Method in class network.KohonenNeuron

Set distance function

setFunctionalModel(LearningFactorFunctionalModel) - Method in class kohonen.WTALearningFunction

Set functional learning factor model

setFunctionalModel(LearningFactorFunctionalModel) - Method in class kohonen.WTMLearningFunction

Set functional learning factor model

setLearningData(LearningDataModel) - Method in class kohonen.WTALearningFunction

Set reference to learning data

setLearningData(LearningDataModel) - Method in class kohonen.WTMLearningFunction

Set reference to learning data

setMaxIteration(int) - Method in class kohonen.WTALearningFunction

Set max interation

setMaxIteration(int) - Method in class kohonen.WTMLearningFunction

Set max interation

setMetrics(MetricModel) - Method in class kohonen.WTALearningFunction

Set metrics

setMetrics(MetricModel) - Method in class kohonen.WTMLearningFunction

Set metrics

setNeighboorhoodFunction(NeighbourhoodFunctionModel) - Method in class kohonen.WTMLearningFunction

Set reference to neighboorhood function

setNetworkModel(NetworkModel) - Method in class kohonen.WTALearningFunction

Set network model

setNetworkModel(NetworkModel) - Method in class kohonen.WTMLearningFunction

Set network model

setParameteres(double[]) - Method in interface activationFunction.ActivationFunctionModel

Set parameters of the activation function

setParameteres(double[]) - Method in class activationFunction.HardLimitActivationFunction

Set parameters for hard limit activation funciton

setParameteres(double[]) - Method in class activationFunction.LinearActivationFunction

Set the parameters of function.

setParameteres(double[]) - Method in class activationFunction.SymetricHardLimitActivationFunction

Set parameters of Hard limit activation funciton

setParameteres(double[]) - Method in class activationFunction.TransparentActivationFunction

Do nothing

setParameteres(double[]) - Method in class metrics.MinkowskiMetric

Set parameter p

setParameters(double[]) - Method in class learningFactorFunctional.ConstantFunctionalFactor

Set parameter

setParameters(double[]) - Method in class learningFactorFunctional.ExponentionalFunctionFactor

Set parameters

setParameters(double[]) - Method in class learningFactorFunctional.GaussFunctionalFactor

Set parameters.

setParameters(double[]) - Method in class learningFactorFunctional.HiperbolicFunctionalFactor

Set funciton parameters.

setParameters(double[]) - Method in interface learningFactorFunctional.LearningFactorFunctionalModel

Set funciton parameters

setParameters(double[]) - Method in class learningFactorFunctional.LinearFunctionalFactor

Set funciton parameters.

setParameters(double[]) - Method in class topology.GaussNeighbourhoodFunction

Set parameters.

setParameters(double[]) - Method in interface topology.NeighbourhoodFunctionModel

Set parameters

setRadius(int) - Method in class topology.HexagonalTopology

Set radius

setRadius(int) - Method in class topology.MatrixTopology

Set radius

setRadius(int) - Method in interface topology.TopologyModel

Set radius

setRowNumber(int) - Method in class topology.HexagonalTopology

Set number of rows

setRowNumber(int) - Method in class topology.MatrixTopology

Set numbers of rows

setRowNumber(int) - Method in interface topology.TopologyModel

Set number of rows

setShowComments(boolean) - Method in class kohonen.WTALearningFunction

Set if comments durring learning process must be shown.

setShowComments(boolean) - Method in class kohonen.WTMLearningFunction

Set if comments durring learning process must be shown.

setTiredness(int) - Method in class network.KohonenNeuronWithTired

Set tiredness

setTiredness(int) - Method in interface network.TiredNeuronModel

Set tiredness

setTopology(TopologyModel) - Method in class network.DefaultNetwork

Set topology

setTopology(TopologyModel) - Method in interface network.NetworkModel

Set topology model

setWeight(double[]) - Method in class network.DefaultNeuron

Set weigths from array as parameter

setWeight(double[]) - Method in class network.DefaultNeuronWithBias

Set weigths from array as parameter

setWeight(double[]) - Method in class network.KohonenNeuron

Set weigths from array as parameter

setWeight(double[]) - Method in interface network.NeuronModel

Set weigths from array as parameter

SymetricHardLimitActivationFunction - Class in activationFunction

Symetric Hard Limit function return 1 if input value is greater then threshold and -1 otherwise.

SymetricHardLimitActivationFunction(double) - Constructor for class activationFunction.SymetricHardLimitActivationFunction

Creates a new instance of SymetricHardLimitActivationFunction with specified paremeter p