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

ATL original implementation on Matlab

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

C++ library for evolving neural networks with NEAT

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

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

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

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

An evolution simulator features evolving brains

ATL code converted to Python 3

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