Implementation of NEAT algorithm, based on "Evolving Neural Networks through Augmenting Topologies" by Kenneth O. Stanley and Risto Miikkulainen

This repository contains a wrapper for the NEAT (Evolving Neural Networks through Augmenting Topologies) Algorithm.

This project is to use evolutionary algorithms to evolve neural networks to solve the 5-Parity Problem.

ATL original implementation on Matlab

ATL code converted to Python 3

An evolution simulator features evolving brains

on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH

NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation

Example Evolving Simple Organisms using a Genetic Algorithm and Simple Neural Network

C++ library for evolving neural networks with NEAT

📈 The study of change and development in a structure or body over time.