3.4 KiB
3.4 KiB
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.
Training set Evolve settings
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2: Count to ten
This neural network gets taught to wait 9 inputs of 0, to output 1 at input number 10.
Training set Evolve settings
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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.
Training set Evolve settings
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