Can someone please provide me with a very brief summary of how to optimise multi-layer feedforward neural network architecture using the genetic algorithm? i.e, optimise the number of neurons and layers.
I just need somewhere to get started. I've had a go at doing it myself, but I think I used a bad method as it gave poor results.
Thanks!
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