The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation
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Adjusted efficiency score estimation to use normalized scaled fitness score #20
Adjusted efficiency score estimation to use normalized scaled fitness score, rather than raw average fitness score. With normalization and scaling it becomes possible to compare efficiency of algorithm not only within one problem, but also among several problems.
Adjusted efficiency score estimation to use normalized scaled fitness score, rather than raw average fitness score. With normalization and scaling it becomes possible to compare efficiency of algorithm not only within one problem, but also among several problems.