ATL code converted to Python 3

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

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

An evolution simulator features evolving brains

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