METHOD FOR UPDATING A PLURALITY OF MUTUALLY REPELLING NEURAL NETWORKS, ASSOCIATED CONTROL METHOD AND DEVICE

摘要

One aspect of the invention relates to a learning method for a plurality of mutually repelling neural networks for controlling mechanical parts using an iterative method that allows the updating of neurons, linearly dependent on the number of neural networks, while ensuring the production of mutually repelling neural networks that are well distributed over the parameter distribution knowing the working data. A second aspect of the invention relates to a method for controlling mechanical parts using a method according to the first aspect of the invention.