Multi-Layer Perceptron Training by Genetic Algorithms

Luka Gajic, Dušan Cvetnić, Timea Bezdan, Nebojša Bačanin Džakula · 2020

In this paper, the authors are presenting one of the ways to train Artificial Neural Networks (ANN) using a predefined set of weights as biases as input parameters, generated by the Genetic Algorithm (GA)

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