Method for learning parameters of neural network, for generating trajectory of exoskeleton and for setting exoskeleton in motion
A neural network and exoskeleton technology, applied in the field of learning the parameters of the neural network, can solve problems such as inconvenient use
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[0067] architecture
[0068] According to three complementary aspects of the invention, the following are proposed:
[0069] - a method for learning the parameters of a neural network, in particular of the FNN (Feedforward Neural Network, feedforward neural network) type, for generating the trajectory of the exoskeleton 1;
[0070] - a method for generating the trajectory of the exoskeleton 1 (using a neural network, advantageously learned due to the aforementioned method); and
[0071] - A method for setting the exoskeleton 1 in motion (applying the trajectory generated due to the method according to the second aspect).
[0072] Due to the first and / or second server 10a, 10b, these three types of methods are figure 1 implemented within the architecture shown. The first server 10a is a learning server (implementing the first method), and the second server 10b is a server for generating trajectories (implementing the second method). It is entirely possible that the two serv...
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