Evolving an Artificial Neural network without using backpropagation

I am looking for a simple code to evolve an artificial neural network without using backpropagation. I want to evolve both the weights and the activation function. Thanking you in advance

[Greg Heath]

Please explain what you mean by evolving an activation function.

It sounds like a big waste of time.

Greg

[Tinashe]

I mean, usually one would evolve weights and bias. But in my case, I want to compare 5 activation functions.

Answer 1

[Greg Heath]

If you wish to compare training functions, use a straight forward backprop e.g., fitnet or patternnet.

Thank you for accepting my answer

Greg