EvolutionaryLearning Constructor (ActivationNetwork, Int32)

public EvolutionaryLearning(
	ActivationNetwork activationNetwork,
	int populationSize
)

Public Sub New ( 
	activationNetwork As ActivationNetwork,
	populationSize As Integer
)

Parameters

activationNetwork

Type: Accord.NeuroActivationNetwork
Activation network to be trained.

populationSize

Type: SystemInt32
Size of genetic population.

This version of constructor is used to create genetic population for searching optimal neural network's weight using default set of parameters, which are:

• Selection method - elite;
• Crossover rate - 0.75;
• Mutation rate - 0.25;
• Rate of injection of random chromosomes during selection - 0.20;
• Random numbers generator for initializing new chromosome - UniformGenerator( new Range( -1, 1 ) );
• Random numbers generator used during mutation for genes' multiplication - ExponentialGenerator( 1 );
• Random numbers generator used during mutation for adding random value to genes - UniformGenerator( new Range( -0.5f, 0.5f ) ).

In order to have full control over the above default parameters, it is possible to used extended version of constructor, which allows to specify all of the parameters.

Reference