NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation
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NEAT (NeuroEvolution of Augmentic Topologies) C++ Library Algorithm Implementation
on-line seizure prediction by evolve neuro-fuzzy model based on SOP and SPH
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.
ATL original implementation on Matlab
C++ library for evolving neural networks with NEAT
An evolution simulator features evolving brains
ATL code converted to Python 3
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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