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Implementation of Neuroevolution of Augmenting Topologies(NEAT) using a distributed architecture for training ANNs with Forex application in MQL4

License: GNU General Public License v3.0

Shell 0.54% PHP 0.08% C 46.00% Cuda 51.48% Batchfile 0.11% HTML 0.64% Makefile 1.16%

h5phet's Introduction

H5PHET

Implementation of the machine learning algorithm: NEAT(Neuroevolution of Augmenting Topologies) in a distributed architecture in an automated expert for Forex trading.

Basado en la disertación de tesis de PhD de Kenneth O. Stanley: Efficient Evolution of Neural Networks Through Complexification (2004) http://nn.cs.utexas.edu/keyword?stanley:phd04

Written in ANSI C, PHP, CUDA and MQL4.

Author: Harvey Bastidas.

License: GNU GPL v3.

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