ahunteruk/RNeat: Neuroevolution of Augmenting Topologies - NEAT
Implementation of the Neuroevolution of Augmenting Topologies (NEAT) algorithm for training neural networks through a genetic evolution approach. This is a port of the LUA code produced by Seth Bling as made famous through MarI/O video.
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Package details |
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| Author | Andrew Hunter <a.hunteruk@gmail.com> |
| Maintainer | Andrew Hunter <a.hunteruk@gmail.com> |
| License | GPL |
| Version | 0.1.0 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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