| Name | Description |
|---|---|
| NEATGenome | |
| NEATInnovation | |
| NEATInnovationList | |
| NEATLinkGene | |
| NEATTraining | Implements NEAT genetic training. 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/ |
