2
$\begingroup$

I wonder, if there are other than NEAT approaches to evolving architectures and weights of artificial neural networks?

To be more specific: I am looking for projects/frameworks/libraries that use evolutionary/genetic algorithms to simultanousely evolve both topology and train weights of ANNs other than NEAT approach. By 'other' I mean similar to NEAT but not based entirely on NEAT. I hope to find different approaches to the same problem.

$\endgroup$
0
$\begingroup$

The Wikipedia article on neuroevolution contains a list of neuroevolution techniques (e.g. NEAT). I will list below the examples that evolve both the parameters and the topology of the neural network.

| improve this answer | |
$\endgroup$
  • $\begingroup$ I would like to note that I am not familiar with any of these methods. This list is based on the info in the mentioned Wikipedia article. $\endgroup$ – nbro Jan 25 at 15:53

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Not the answer you're looking for? Browse other questions tagged or ask your own question.