| 이름 | 설명 |
|---|---|
| NEATGenome | |
| NEATInnovation | Stores a NEAT innovation. This is an improvement that was attempted to the neural network. |
| NEATInnovationList | Implements a NEAT innovation list. 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/ |
| NEATLinkGene | Implements a NEAT link gene. This describes a way in which two neurons are linked. 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/ |
| NEATNeuronGene | Implements a NEAT neuron gene. 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/ |
| SplitDepth | Tracks the split depth of NEAT links. 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/ |