The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
Implemented separate population epochs executor types: sequential and parallel. Implemented epoch, trial duration tracking among with averages among all epochs in experiment.
Implemented separate population epochs executor types: sequential and parallel. Implemented epoch, trial duration tracking among with averages among all epochs in experiment.