structuring chromosomes for total neural network evolution

[Lucas S M]

 subject: structuring chromosomes for total neural network evolution

 The following two papers discuss recent work on a simple unified
 approach to evolving ALL aspects of a neural network, including
 its learning algorithm (if any).  The first uses a grammar based
 chromosome, the second uses a set-based chromosome.  The latter
 approach appears particularly promising as a method of part designing/
 part evolving neural networks.

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