US 2023/0351156 A1: Method and System for Adapting a Neural Network Used in a Telecommunication Network

Abstract

In a communication network, an item of equipment uses a first neural network to implement a signal processing function, in order to process an input signal to obtain an output signal. A third neural network configured to determine a transfer function for transferring the parameters of a second neural network to the parameters of the first neural network is trained, the second neural network being less complex than the first network and also being used to implement the processing function, the first and second neural networks having been trained by the same input and output signals. The transfer function allows the parameters of the first network to be deduced from parameters of the second neural network. After detection of a change in the processing function, the parameters of the second network are adapted by means of input signals associated with a training sequence, and the parameters of the first neural network are adapted by using the adapted parameters of the second network and the transfer function.