NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation
This repository contains a wrapper for the NEAT (Evolving Neural Networks through Augmenting Topologies) Algorithm.
Implementation of NEAT algorithm, based on "Evolving Neural Networks through Augmenting Topologies" by Kenneth O. Stanley and Risto Miikkulainen
on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH
ATL original implementation on Matlab
C++ library for evolving neural networks with NEAT
ATL code converted to Python 3
An evolution simulator features evolving brains
This project is to use evolutionary algorithms to evolve neural networks to solve the 5-Parity Problem.
Example Evolving Simple Organisms using a Genetic Algorithm and Simple Neural Network
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