ABSTRACT
The Artificial Neural Networks, from their origin, are oriented to solve problems in the same way as the human
brain would. They use real data for their training and, through various algorithms, they seek to reach an optimal
solution. In the present article the design of a Neuronal Artificial Network of multilayer perceptron type (PMC)
for the control of autonomous vehicles in cruises is proposed. The training of the network was carried out applying
Hyperbolic Tangent Sigmoid, Hyperbolic Log-Sigmoid and finally the linear functions.
Keywords: - Neural Network, Robotics, Multilayer Perceptron, automation.