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Description

This group is for users of NEAT (NeuroEvolution of Augmenting Topologies), the neuroevolutionary technique created by Kenneth Stanley of the University of Texas at Austin.

The intent is to share ideas, questions, and comments regarding the implementation, theory, and possible variations and future directions of NEAT.

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Re: Example of Training based on a DataSet
Major bug in my code when setting input array values: for (Int32 j = 0; j < box.InputCount; j++) { box.InputSignalArray[0] = Convert.ToDouble(dr[j]); } should
Posted - Mon Feb 13, 2012 5:30 pm
gotnobluemilk
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Re: Fitness Function
As additional information to my stated problem, the best genome and connections I show are from generation 3821. Also, the genomes do complex, but then
Posted - Sat Feb 11, 2012 1:56 pm
gotnobluemilk
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Fitness Function
I am testing NEAT against the problem of detecting fraud. My approach is different than many of the examples because it is not a robot/game approach where you
Posted - Sat Feb 11, 2012 1:46 pm
gotnobluemilk
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Re: Some Questions Regarding SharpNEAT v2
Changed the code to this: if (blackbox.OutputCount > 1) { // Read bias connection weight from output 1. double weight = outputSignalArr[1]; // Skip connections
Posted - Wed Feb 8, 2012 12:31 am
gotnobluemilk
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Re: Some Questions Regarding SharpNEAT v2
... So I would set OutputCount to 1, and also modify Substrate.cs so that it doesn't try to read the bias weight from output[1]. Basically you can comment out
Posted - Tue Feb 7, 2012 9:12 am
Colin Green
alienseedpod
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Message History

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec
2012 7 10
2011 29 13 27 59 15 24 18 14 17 12 59 26
2010 62 21 64 23 37 22 32 19 9 9 71 24
2009 16 47 14 46 48 28 70 37 33 4 91 79
2008 79 28 96 102 101 68 46 55 36 60 98 40
2007 20 67 103 137 140 68 38 71 22 47 38 66
2006 38 43 45 36 7 6 40 34 54 21 65 43
2005 68 32 40 19 47 41 120 83 67 76 77 25
2004 64 95 145 122 206 242 122 191 125 54 79 32
2003 41 63 88 42 66
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