C# Class Accord.Neuro.Learning.EvolutionaryFitness

Fitness function used for chromosomes representing collection of neural network's weights.

Inheritance: IFitnessFunction

Public Methods

Method	Description
Evaluate ( IChromosome chromosome ) : double	Evaluates chromosome. The method calculates fitness value of the specified chromosome.
EvolutionaryFitness ( ActivationNetwork network, double input, double output ) : Accord.Genetic	Initializes a new instance of the EvolutionaryFitness class.

Evaluates chromosome.

The method calculates fitness value of the specified chromosome.

public Evaluate ( IChromosome chromosome ) : double
chromosome	IChromosome	Chromosome to evaluate.
return	double

Initializes a new instance of the EvolutionaryFitness class.

Length of inputs and outputs arrays must be equal and greater than 0. Length of each input vector must be equal to neural network's inputs count.

public EvolutionaryFitness ( ActivationNetwork network, double input, double output ) : Accord.Genetic
network	ActivationNetwork	Neural network for which fitness will be calculated.
input	double	Input data samples for neural network.
output	double	Output data sampels for neural network (desired output).
return	Accord.Genetic