C# 클래스 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/
파일 보기 프로젝트 열기: encog/encog-silverlight-core 1 사용 예제들

공개 메소드들

메소드 설명
NEATLink ( ) : System

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

Construct a NEAT link.

메소드 상세

NEATLink() 공개 메소드

Default constructor.
public NEATLink ( ) : System
리턴 System

NEATLink() 공개 메소드

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.
리턴 System