A B C D E F G H I J K L M N O P R S T V W

G

GPClassifier - class classifier.GPClassifier.

GPClassifier() - Constructor for class classifier.GPClassifier

GPClassifier(GProgram, Object) - Constructor for class classifier.GPClassifier

GPEvent - class classifier.gp.GPEvent.

GPEvent(Object, int) - Constructor for class classifier.gp.GPEvent

GPEvolution - class classifier.gp.GPEvolution.

Class from which evolution start

GPEvolution(int, int) - Constructor for class classifier.gp.GPEvolution

GPListener - interface classifier.gp.GPListener.

GProgram - class classifier.gp.GProgram.

Abstract class that stands over the 2 kind of possible nodes and their real implementation; moreover it brings some common methods to operate over trees

GProgram() - Constructor for class classifier.gp.GProgram

GROW - Static variable in interface classifier.gp.MethodOfGeneration

Generation - class classifier.gp.Generation.

Data structure to allow serialization of populations

Generation(int) - Constructor for class classifier.gp.Generation

GenericEvent - class classifier.GenericEvent.

GenericEvent(Object, int) - Constructor for class classifier.GenericEvent

generation - Variable in class classifier.gp.Population

generationCycleEnded - Static variable in class classifier.gp.GPEvent

getAdjustedFitness() - Method in class classifier.gp.Individual

getBestOfRunIndividual() - Method in class classifier.gp.Population

getBias() - Method in class classifier.nn.Neuron

getBiasWeight() - Method in class classifier.nn.Neuron

getBreeder() - Method in class classifier.gp.Population

getBuffer() - Method in class classifier.nn.Link

getBuffer() - Method in class classifier.nn.LinkBuffer

getChildIndex() - Method in interface classifier.gp.Joint

getChildIndex() - Method in class classifier.gp.TreeJoint

getCrossoverOperator() - Method in class classifier.gp.Breeder

getCrossoverRate() - Method in class classifier.gp.Breeder

getCrossoverSelect() - Method in class classifier.gp.Breeder

getCrossoverSelect2() - Method in class classifier.gp.Breeder

getCycle() - Method in class classifier.nn.BackPropagation

getDataReader() - Method in class classifier.TrainingSetSVConcrete

getDefaults() - Method in class classifier.gp.Parameters

getErrBit() - Method in interface classifier.nn.errorCondition

getErrClassified() - Method in interface classifier.nn.errorCondition

getExchCycle() - Method in class classifier.gp.GPEvolution

getExternaleRate() - Method in class classifier.gp.CrossoverPlain

Probability that a external node is chosen as a crossover point

getFN() - Method in class classifier.gp.Individual

getFP() - Method in class classifier.gp.Individual

getFitnessFunction() - Method in class classifier.gp.Population

getFunctionSet() - Method in class classifier.gp.Population

getGProgram() - Method in class classifier.GPClassifier

getGeneration() - Method in class classifier.gp.GPEvolution

getGeneration() - Method in class classifier.gp.Population

getHits() - Method in class classifier.gp.Individual

getID() - Method in class classifier.GenericEvent

getID() - Method in class classifier.gp.Generation

getIndividual(int) - Method in class classifier.gp.Population

getInput(int) - Method in interface classifier.TrainingSet

getInput(int) - Method in class classifier.TrainingSetSVConcrete

getInputObjects() - Method in interface classifier.DataReader

getInternalRate() - Method in class classifier.gp.CrossoverPlain

Probability that a internal node is chosen as a crossover point

getInternalRate() - Method in class classifier.gp.MutationPlain

Probability that a internal node is chosen as a mutation point

getItem(int) - Method in class classifier.gp.FunctionSet

getItem(int) - Method in class classifier.gp.TerminalSet

getItemRandomly() - Method in class classifier.gp.FunctionSet

getItemRandomly() - Method in class classifier.gp.TerminalSet

getKind() - Method in class classifier.GPClassifier

getLayer() - Method in class classifier.nn.Link

getLayer(int) - Method in class classifier.nn.Network

getLayer() - Method in class classifier.nn.Node

getLearningRate() - Method in class classifier.nn.BackPropagation

getLinkFrom(int) - Method in class classifier.nn.Neuron

getLinkTo(int) - Method in class classifier.nn.Node

getLinkTo(Network, Neuron) - Method in class classifier.nn.Node

getMap() - Method in interface classifier.DataReader

getMaxDepth() - Method in class classifier.gp.CrossoverPlain

Maximum allowable depth of the resulting tree

getMaxDepth() - Method in class classifier.gp.MutationPlain

Maximum allowable depth of the resulting tree

getMaxGeneration() - Method in class classifier.gp.GPEvolution

getMaxNumOfCycle() - Method in class classifier.nn.BackPropagation

getMethodOfGeneration() - Method in class classifier.gp.MutationPlain

getMutationOpertor() - Method in class classifier.gp.Breeder

getMutationRate() - Method in class classifier.gp.Breeder

getMutationSelect() - Method in class classifier.gp.Breeder

getName() - Method in class classifier.gp.GProgram

To get the name of the function of the node or the type of the terminal

getName() - Method in class classifier.gp.Population

getNetwork() - Method in class classifier.NNClassifier

getNetwork() - Method in class classifier.nn.BackPropagation

getNode(int) - Method in class classifier.nn.Layer

getNode(int) - Method in class classifier.nn.NeuronInputLayer

getNode(int) - Method in class classifier.nn.NeuronLayer

getNodeFrom(Network) - Method in class classifier.nn.LinkFrom

getNodeTo(Network) - Method in class classifier.nn.LinkTo

getNormalizedFitness() - Method in class classifier.gp.Individual

getNum() - Method in interface classifier.TrainingSet

getNum() - Method in class classifier.TrainingSetSVConcrete

getNum() - Method in class classifier.gp.FunctionSet

getNum() - Method in class classifier.gp.TerminalSet

getNum() - Method in class classifier.nn.Layer

getNum() - Method in class classifier.nn.Node

getNumLayer() - Method in class classifier.nn.Network

getNumLinkTo() - Method in class classifier.nn.Node

getNumLinks() - Method in class classifier.nn.Neuron

getNumNode() - Method in class classifier.nn.Layer

getNumNode() - Method in class classifier.nn.Link

getNumNode() - Method in class classifier.nn.NeuronInputLayer

getNumNode() - Method in class classifier.nn.NeuronLayer

getOutput(int) - Method in interface classifier.TrainingSetSV

getOutput(int) - Method in class classifier.TrainingSetSVConcrete

getOutput() - Method in class classifier.nn.InputNeuron

getOutput() - Method in class classifier.nn.Neuron

getOutput() - Method in class classifier.nn.Node

getParent() - Method in interface classifier.gp.Joint

getParent() - Method in class classifier.gp.TreeJoint

getPopulationSize() - Method in class classifier.gp.Population

getPopulations() - Method in class classifier.gp.Generation

getProgram() - Method in class classifier.gp.Individual

getProperties() - Method in class classifier.gp.Population

getReproductioinSelect() - Method in class classifier.gp.Breeder

getReproductionRate() - Method in class classifier.gp.Breeder

getSource() - Method in class classifier.GenericEvent

getStandardizedFitness() - Method in class classifier.gp.Individual

getSubProgram() - Method in interface classifier.gp.Joint

getSubProgram() - Method in class classifier.gp.TreeJoint

getSubtree(GProgram, int, Condition) - Static method in class classifier.gp.GProgram

To have the Joint structure containg the information to break the tree in the desidered point

getTerminalSet() - Method in class classifier.gp.Population

getTestCycle() - Method in class classifier.nn.BackPropagation

getTrainingSet() - Method in interface classifier.gp.FitnessFunction

getValue() - Method in class classifier.gp.Ramp

getWeight() - Method in class classifier.nn.Link

getWeight() - Method in class classifier.nn.Weight

getWhen() - Method in class classifier.GenericEvent