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

G

GaussFunctionalFactor - Class in learningFactorFunctional

Gauss Function Factor descibed by function exp(-(k^2))/(2*r^2))

GaussFunctionalFactor() - Constructor for class learningFactorFunctional.GaussFunctionalFactor

GaussNeighbourhoodFunction - Class in topology

Gauss neighbourhood Function

GaussNeighbourhoodFunction(int) - Constructor for class topology.GaussNeighbourhoodFunction

Creates a new instance of GaussNeighbourhoodFunction with specified radius

getActivationFunction() - Method in class network.DefaultNeuron

Return reference to activation function

getActivationFunction() - Method in class network.DefaultNeuronWithBias

Return reference to activation function

getBestNeuron(double[]) - Method in class kohonen.WTALearningFunction

Return number of the best neuron for specified input vector

getBestNeuron(double[]) - Method in class kohonen.WTALearningFunctionWithTired

Return number of the best neuron for specified input vector.

getBestNeuron(double[]) - Method in class kohonen.WTMLearningFunction

Rerturn number of best neuron for specified input vector

getBestNeuron(double[]) - Method in class kohonen.WTMLearningFunctionWithTired

Return number of best neuron for specified input vector.

getBias() - Method in class network.DefaultNeuronWithBias

Return value of the bias

getColNumber() - Method in class topology.HexagonalTopology

Return number of columns

getColNumber() - Method in class topology.MatrixTopology

Return number of columns

getColNumber() - Method in interface topology.TopologyModel

Return number of columns

getConnectedNeurons(int) - Method in class topology.HexagonalTopology

Return ArrayList of neurons connected to neuron with neuron Number

getConnectedNeurons(int) - Method in class topology.MatrixTopology

Return ArrayList of neurons connected to neuron with neuron Number

getConnectedNeurons(int) - Method in interface topology.TopologyModel

Return ArrayList of neurons connected to neuron with neuron Number

getData(int) - Method in class kohonen.LearningData

Return ArrayList as vector of data

getData(int) - Method in interface kohonen.LearningDataModel

Return array as vector of data

getDataSize() - Method in class kohonen.LearningData

Return numbers of data

getDataSize() - Method in interface kohonen.LearningDataModel

Return numbers of data

getDistance(double[], double[]) - Method in class metrics.CityBlockMetric

Return value containing the distance information.

getDistance(double[], double[]) - Method in class metrics.EuclidesMetric

Return value containing the distance information.

getDistance(double[], double[]) - Method in interface metrics.MetricModel

Return value containing the distance information

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

Return distance beetwen input vectors.

getDistanceFunction() - Method in class network.KohonenNeuron

Return reference to distance function

getFunctionalModel() - Method in class kohonen.WTALearningFunction

Return function model

getFunctionalModel() - Method in class kohonen.WTMLearningFunction

Return function model

getLearningData() - Method in class kohonen.WTALearningFunction

Return reference to learning data

getLearningData() - Method in class kohonen.WTMLearningFunction

Return reference to learning data

getMaxIteration() - Method in class kohonen.WTALearningFunction

Return maximal number of iteration

getMaxIteration() - Method in class kohonen.WTMLearningFunction

Return maximal number of iteration

getMetrics() - Method in class kohonen.WTALearningFunction

Return metrics

getMetrics() - Method in class kohonen.WTMLearningFunction

Return metrics

getNeighboorhoodFunction() - Method in class kohonen.WTMLearningFunction

Return reference to neighboorhood function

getNeighbourhood(int) - Method in class topology.HexagonalTopology

Return TreeMap containing information about neuron and distance to neuron for which neighbourhood is calculated

getNeighbourhood(int) - Method in class topology.MatrixTopology

Return TreeMap containng information about neuron and distance to neuron for which neighbourhood is calculated

getNeighbourhood(int) - Method in interface topology.TopologyModel

Return TreeMap containing information about neuron and distance to neuron for which neighbourhood is calculated

getNetworkModel() - Method in class kohonen.WTALearningFunction

Return network model

getNetworkModel() - Method in class kohonen.WTMLearningFunction

Return network model

getNeuron(int) - Method in class network.DefaultNetwork

Return specified by number neuron

getNeuron(int) - Method in interface network.NetworkModel

Return neuron with specified number

getNeuronCoordinate(int) - Method in class topology.HexagonalTopology

Return Coord object contains information about neuron co-ordinate in Hexagonal Topology

getNeuronCoordinate(int) - Method in class topology.MatrixTopology

Return Coord object contain intormation about neuron co-ordinate

getNeuronCoordinate(int) - Method in interface topology.TopologyModel

Return Coord object containing intormation about neuron co-ordinate

getNeuronNumber(Coords) - Method in class topology.HexagonalTopology

Return neuron number of specyfied co-ordiante

getNeuronNumber(Coords) - Method in class topology.MatrixTopology

Return neuron number with specyfied co-ordiante

getNeuronNumber(Coords) - Method in interface topology.TopologyModel

Return neuron number of specyfied co-ordiante

getNumbersOfNeurons() - Method in class network.DefaultNetwork

Return number of neuorns

getNumbersOfNeurons() - Method in interface network.NetworkModel

Return numbers of neurons

getNumbersOfNeurons() - Method in class topology.HexagonalTopology

Return number of neurons in topology.

getNumbersOfNeurons() - Method in class topology.MatrixTopology

Return number of neuron.

getNumbersOfNeurons() - Method in interface topology.TopologyModel

Return number of neuron.

getParamateres() - Method in interface activationFunction.ActivationFunctionModel

Return array of the parameters

getParamateres() - Method in class activationFunction.HardLimitActivationFunction

Return array contains parameters list

getParamateres() - Method in class activationFunction.LinearActivationFunction

Return parameters of the Linear Activation function.

getParamateres() - Method in class activationFunction.SymetricHardLimitActivationFunction

Return array contains parameters list

getParamateres() - Method in class activationFunction.TransparentActivationFunction

Return null

getParamateres() - Method in class metrics.MinkowskiMetric

Return array of parameters containing p

getParameters() - Method in class learningFactorFunctional.ConstantFunctionalFactor

Return array containing parameter

getParameters() - Method in class learningFactorFunctional.ExponentionalFunctionFactor

Return array containing parameters.

getParameters() - Method in class learningFactorFunctional.GaussFunctionalFactor

Return array containing parameter r - radius

getParameters() - Method in class learningFactorFunctional.HiperbolicFunctionalFactor

Get function parameters.

getParameters() - Method in interface learningFactorFunctional.LearningFactorFunctionalModel

Get function parameters

getParameters() - Method in class learningFactorFunctional.LinearFunctionalFactor

Get function parameters.

getParameters() - Method in class topology.GaussNeighbourhoodFunction

Return array containing parameter r - radius

getParameters() - Method in interface topology.NeighbourhoodFunctionModel

Return array containing parameters list

getRadius() - Method in class topology.HexagonalTopology

Return radius for calculate neighbourhood

getRadius() - Method in class topology.MatrixTopology

Return radius for calculate neighbourhood

getRadius() - Method in interface topology.TopologyModel

Return radius for calculate neighbourhood

getRowNumber() - Method in class topology.HexagonalTopology

Return number of rows

getRowNumber() - Method in class topology.MatrixTopology

Return number of rows

getRowNumber() - Method in interface topology.TopologyModel

Return number of rows

getTiredness() - Method in class network.KohonenNeuronWithTired

Return value of tiredness

getTiredness() - Method in interface network.TiredNeuronModel

Return value of tiredness

getTopology() - Method in class network.DefaultNetwork

Get topology reference

getTopology() - Method in interface network.NetworkModel

Return topology

getValue(double) - Method in interface activationFunction.ActivationFunctionModel

Return value of the activation function for specified input value.

getValue(double) - Method in class activationFunction.HardLimitActivationFunction

Return 1 if input value is greater then p and 0 otherwise

getValue(double) - Method in class activationFunction.LinearActivationFunction

Return value y of Linear Activation function for specified input value x.

getValue(double) - Method in class activationFunction.SymetricHardLimitActivationFunction

Return 1 if input value is greater then p and -1 otherwise.

getValue(double) - Method in class activationFunction.TransparentActivationFunction

Return the input value without any changes.

getValue(int) - Method in class learningFactorFunctional.ConstantFunctionalFactor

Return function value for specified iteratnion.

getValue(int) - Method in class learningFactorFunctional.ExponentionalFunctionFactor

Return value calculated by function describe by n0 * exp(-c*k)

getValue(int) - Method in class learningFactorFunctional.GaussFunctionalFactor

Return value calculated by function describe as exp(-(k^2))/(2*r^2))

getValue(int) - Method in class learningFactorFunctional.HiperbolicFunctionalFactor

Return function value for specified iteratnion.

getValue(int) - Method in interface learningFactorFunctional.LearningFactorFunctionalModel

Return funciton value for specified iteration

getValue(int) - Method in class learningFactorFunctional.LinearFunctionalFactor

Return funciton value for specified iteration

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

Return value of the neuron after activation.

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

Return value of the neuron after activation.

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

Return value of the neuron after activation.

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

Return value of the neuron after activation.

getValue(int) - Method in class topology.GaussNeighbourhoodFunction

Return value calculated by function describe as exp(-(k^2))/(2*r^2))

getValue(int) - Method in interface topology.NeighbourhoodFunctionModel

Return valu for specified distance

getVectorSize() - Method in class kohonen.LearningData

Return length of the vector

getWeight() - Method in class network.DefaultNeuron

Returns array contains valu of the weights

getWeight() - Method in class network.DefaultNeuronWithBias

Returns array contains valu of the weights

getWeight() - Method in class network.KohonenNeuron

Return array of neuron weigths

getWeight() - Method in interface network.NeuronModel

Returns array contains valu of the weights

getX() - Method in class topology.Coords

Return x coordinate

getY() - Method in class topology.Coords

Return y coordinate