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Python implementation of NEAT (exported from code.google.com/p/pyneat)
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The NEAT software is based on the NeuroEvolution of Augmenting Topologies method of evolving artificial neural networks, by Stanley and Miikkulainen (2001). Papers describing the method and some associated findings are available at: http://www.cs.utexas.edu/users/kstanley Also, see: http://www.cs.utexas.edu/users/nn/pages/research/ne-methods.html#NEAT Ken Stanley's UCF homepage: http://www.cs.ucf.edu/~kstanley This program is free software; you can redistribute it and/or modify it under the terms of the GNU General Public License version 2 as published by the Free Software Foundation. This program is distributed in the hope that it will be useful, but without any warranty; without even the implied warranty of merchantability or fitness for a particular purpose. See the GNU General Public License for more details. This package is currently in an alpha state. The implementation should be done, but there are probably lots of bugs and it really needs to be optimized. There are also lots of extra features left to be added from the various papers published about this method.