Comparison of neural network natural and ordinary gradient algorithms for satellite down link identification

We present a neural network architecture that belongs to the multilayer perceptron family, associated with two different algorithms: the ordinary gradient and the natural gradient, we compare the performances of those algorithms. The identification of a non-normalized power amplifier yielded to the introduction of an additional weight in the classical multilayer perceptron structure. The application of this network is space telecommunications: identification of satellite communication channels, and especially the down link. This link is made up with two elements. The first one is a high power amplifier (non-linearity). The second one is a filter (memory)