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NeuroEvolution of Augmented Topologies
Neuro-Evolution of Augmenting Topologies (NEAT) is a genetic algorithm for evolving neural networks. Developed by Ken Stanley at University of Texas at Austin and published under the GPL; it integrates with Guile, a GNU scheme interpreter.
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