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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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| View Live Article | This article is from Wikipedia. All text is available under the terms of the GNU Free Documentation License | |
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