This page shows some neuro-evolution examples. Please note that not every example may always be successful. More may be added in the future!
This neural network gets taught to increase the input by 0.2 until 1.0 is reached, then it must decrease the input by 2.0.
This neural network gets taught to wait 9 inputs of 0, to output 1 at input number 10.
This neural network gets taught to classify if a letter of the alphabet is a vowel or not. The data is one-hot-encoded.