Adaptive optics reconstructors are needed to remove the effects of atmospheric distortion\nin optical systems of large telescopes. The use of reconstructors based on neural networks has\nbeen proved successful in recent times. Some of their properties require a specific characterization.\nA procedure, based in time series clustering algorithms, is presented to characterize the relationship\nbetween temporal structure of inputs and outputs, through analyzing the data provided by the\nsystem. This procedure is used to compare the performance of a reconstructor based in Artificial\nNeural Networks, with one that shows promising results, but is still in development, in order to\ncorroborate its suitability previously to its implementation in real applications. Also, this procedure\ncould be applied with other physical systems that also have evolution in time.
Loading....