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

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SelectionFunction - class classifier.gp.SelectionFunction.

To choose the current method to select individual program

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

Sigmoid - class classifier.nn.Sigmoid.

Sigmoid() - Constructor for class classifier.nn.Sigmoid

save(File) - Method in interface classifier.Classifier

save(File) - Method in class classifier.GPClassifier

save(File) - Method in class classifier.NNClassifier

select(Population) - Method in class classifier.gp.BestSelection

select(Population) - Method in class classifier.gp.FitnessOverselected

select(Population) - Method in class classifier.gp.FitnessProportionate

select(Individual[]) - Method in class classifier.gp.FitnessProportionate

select(Population) - Method in class classifier.gp.RandomSelection

select(Population) - Method in class classifier.gp.SelectionFunction

Select an individual on the basis of the selected criteria

select(Population) - Method in class classifier.gp.Tournament

select(Population) - Method in class classifier.gp.WorstSelection

setAdjustedFitness(double) - Method in class classifier.gp.Individual

setBiasWeight(double) - Method in class classifier.nn.Neuron

setBreeder(Breeder) - Method in class classifier.gp.Population

setBuffer(Object) - Method in class classifier.nn.Link

setBuffer(Object) - Method in class classifier.nn.LinkBuffer

setCrossoverOperator(CrossoverOperator) - Method in class classifier.gp.Breeder

setCrossoverRate(double) - Method in class classifier.gp.Breeder

setCrossoverSelect(SelectionFunction) - Method in class classifier.gp.Breeder

setCrossoverSelect2(SelectionFunction) - Method in class classifier.gp.Breeder

setExchCycle(int) - Method in class classifier.gp.GPEvolution

setExternalRate(double) - Method in class classifier.gp.CrossoverPlain

To change the probability that a external node is chosen as a crossover point

setFN(long) - Method in class classifier.gp.Individual

setFP(long) - Method in class classifier.gp.Individual

setFunctionSet(FunctionSet) - Method in class classifier.gp.Population

setGProgram(GProgram) - Method in class classifier.GPClassifier

setHits(int) - Method in class classifier.gp.Individual

setInput(Object) - Method in class classifier.nn.InputNeuron

setInput(Object) - Method in class classifier.nn.Neuron

setInput(Object) - Method in class classifier.nn.Node

setInternalRate(double) - Method in class classifier.gp.CrossoverPlain

To change the probability that a internal node is chosen as a crossover point

setInternalRate(double) - Method in class classifier.gp.MutationPlain

To change the probability that a internal node is chosen as a mutation point

setKind(Object) - Method in class classifier.GPClassifier

setLayer(int, Layer) - Method in class classifier.nn.Network

Inizializza l'i-esimo layer della rete

setLearningRate(double) - Method in class classifier.nn.BackPropagation

setMaxDetph(int) - Method in class classifier.gp.CrossoverPlain

To change the maximum allowable depth of a tree

setMaxDetph(int) - Method in class classifier.gp.MutationPlain

To change the maximum allowable depth of a tree

setMaxGeneration(int) - Method in class classifier.gp.GPEvolution

setMaxNumOfCycle(int) - Method in class classifier.nn.BackPropagation

setMethodOfGeneration(int) - Method in class classifier.gp.MutationPlain

setMutationOpertor(MutationOperator) - Method in class classifier.gp.Breeder

setMutationRate(double) - Method in class classifier.gp.Breeder

setMutationSelect(SelectionFunction) - Method in class classifier.gp.Breeder

setName(String) - Method in class classifier.gp.Population

setNetwork(Network) - Method in class classifier.NNClassifier

setNormalizedFitness(double) - Method in class classifier.gp.Individual

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

Definisce il numero di Layer da cui deve essere composta la rete

setProgram(GProgram) - Method in class classifier.gp.Individual

setReproductioinSelect(SelectionFunction) - Method in class classifier.gp.Breeder

setReproductionRate(double) - Method in class classifier.gp.Breeder

setSource(Object) - Method in class classifier.GenericEvent

setStandardizedFitness(double) - Method in class classifier.gp.Individual

setTerminalSet(TerminalSet) - Method in class classifier.gp.Population

setTestCycle(int) - Method in class classifier.nn.BackPropagation

setWeight(double) - Method in class classifier.nn.Link

setWeight(double) - Method in class classifier.nn.Weight

sortPopulationByFitness(boolean) - Method in class classifier.gp.Population

standardizedFitness - Variable in class classifier.gp.Individual

start(GProgram[]) - Method in interface classifier.gp.CrossoverOperator

Method to start the crossover operation

start(GProgram[]) - Method in class classifier.gp.CrossoverPlain

Method to start the crossover operation

start(GProgram[], FunctionSet, TerminalSet) - Method in interface classifier.gp.MutationOperator

Method to start the mutation operation

start(GProgram[], FunctionSet, TerminalSet) - Method in class classifier.gp.MutationPlain