description: A list of neuro-evolution algorithms set up with Neataptic authors: Thomas Wagenaar keywords: genetic-algorithm, Neat, JavaScript, Neataptic, neuro-evolution This page shows some neuro-evolution examples. Please note that not every example may always be successful. More may be added in the future!
1: Uphill and downhill

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.

2: Count to ten

This neural network gets taught to wait 9 inputs of 0, to output 1 at input number 10.

3: Vowel vs. consonants classification

This neural network gets taught to classify if a letter of the alphabet is a vowel or not. The data is one-hot-encoded.