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NeuroEvolution of Augmented Topologies

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

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Artificial neural network | Genetic Algorithm | Genetic Algorithms | Neural Networks | Neural net | Neural nets | Neural network | Neuroevolution

 

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This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "NeuroEvolution of Augmented Topologies".

 

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