EvolutionaryLearning Constructor (ActivationNetwork, Int32, IRandomNumberGeneratorDouble, IRandomNumberGeneratorDouble, IRandomNumberGeneratorDouble, ISelectionMethod, Double, Double, Double)

public EvolutionaryLearning(
	ActivationNetwork activationNetwork,
	int populationSize,
	IRandomNumberGenerator<double> chromosomeGenerator,
	IRandomNumberGenerator<double> mutationMultiplierGenerator,
	IRandomNumberGenerator<double> mutationAdditionGenerator,
	ISelectionMethod selectionMethod,
	double crossOverRate,
	double mutationRate,
	double randomSelectionRate
)

Public Sub New ( 
	activationNetwork As ActivationNetwork,
	populationSize As Integer,
	chromosomeGenerator As IRandomNumberGenerator(Of Double),
	mutationMultiplierGenerator As IRandomNumberGenerator(Of Double),
	mutationAdditionGenerator As IRandomNumberGenerator(Of Double),
	selectionMethod As ISelectionMethod,
	crossOverRate As Double,
	mutationRate As Double,
	randomSelectionRate As Double
)

Parameters

activationNetwork

Type: Accord.NeuroActivationNetwork
Activation network to be trained.

populationSize

Type: SystemInt32
Size of genetic population.

chromosomeGenerator

Type: Accord.Math.RandomIRandomNumberGeneratorDouble
Random numbers generator used for initialization of genetic population representing neural network's weights and thresholds (see chromosomeGenerator).

mutationMultiplierGenerator

Type: Accord.Math.RandomIRandomNumberGeneratorDouble
Random numbers generator used to generate random factors for multiplication of network's weights and thresholds during genetic mutation (ses mutationMultiplierGenerator.)

mutationAdditionGenerator

Type: Accord.Math.RandomIRandomNumberGeneratorDouble
Random numbers generator used to generate random values added to neural network's weights and thresholds during genetic mutation (see mutationAdditionGenerator).

selectionMethod

Type: Accord.GeneticISelectionMethod
Method of selection best chromosomes in genetic population.

crossOverRate

Type: SystemDouble
Crossover rate in genetic population (see CrossoverRate).

mutationRate

Type: SystemDouble
Mutation rate in genetic population (see MutationRate).

randomSelectionRate

Type: SystemDouble
Rate of injection of random chromosomes during selection in genetic population (see RandomSelectionPortion).

Reference