Comparison of neural network natural and ordinary gradient algorithms for satellite down link identification
نویسندگان
چکیده
In this paper, we present a neural network architecture that belongs to the multi-layer perceptron family, associated with two different algorithms: the ordinary gradient and the natural gradient, we compare 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).
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