C# Class Accord.Neuro.Learning.PerceptronLearning

Perceptron learning algorithm.

This learning algorithm is used to train one layer neural network of Activation Neurons with the Threshold activation function.

See information about Perceptron and its learning algorithm.

Inheritance: ISupervisedLearning

Méthodes publiques

Méthode	Description
PerceptronLearning ( ActivationNetwork network ) : System	Initializes a new instance of the PerceptronLearning class.
Run ( double input, double output ) : double	Runs learning iteration. Runs one learning iteration and updates neuron's weights in the case if neuron's output is not equal to the desired output.
RunEpoch ( double input, double output ) : double	Runs learning epoch. The method runs one learning epoch, by calling Run method for each vector provided in the input array.

Initializes a new instance of the PerceptronLearning class.

Invalid nuaral network. It should have one layer only.

public PerceptronLearning ( ActivationNetwork network ) : System
network	ActivationNetwork	Network to teach.
Résultat	System

Runs learning iteration.

Runs one learning iteration and updates neuron's weights in the case if neuron's output is not equal to the desired output.

public Run ( double input, double output ) : double
input	double	Input vector.
output	double	Desired output vector.
Résultat	double

Runs learning epoch.

The method runs one learning epoch, by calling Run method for each vector provided in the input array.

public RunEpoch ( double input, double output ) : double
input	double	Array of input vectors.
output	double	Array of output vectors.
Résultat	double