C# Class Encog.Neural.Networks.Synapse.NEAT.NEATLink

Implements a link between two NEAT neurons. NeuroEvolution of Augmenting Topologies (NEAT) is a genetic algorithm for the generation of evolving artificial neural networks. It was developed by Ken Stanley while at The University of Texas at Austin. http://www.cs.ucf.edu/~kstanley/
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Méthodes publiques

Méthode Description
NEATLink ( ) : System

Default constructor.
NEATLink ( double weight, NEATNeuron fromNeuron, NEATNeuron toNeuron, bool recurrent ) : System

Construct a NEAT link.

Method Details

NEATLink() public méthode

Default constructor.
public NEATLink ( ) : System
Résultat System

NEATLink() public méthode

Construct a NEAT link.
public NEATLink ( double weight, NEATNeuron fromNeuron, NEATNeuron toNeuron, bool recurrent ) : System
weight double The weight between the two neurons.
fromNeuron NEATNeuron The source neuron.
toNeuron NEATNeuron The target neuron.
recurrent bool Is this a recurrent link.
Résultat System