  We design an optical feedback network making use of machine learning
techniques and demonstrate via simulations its ability to correct for the
effects of turbulent propagation on optical modes. This artificial neural
network scheme only relies on measuring the intensity profile of the distorted
modes, making the approach simple and robust. The network results in the
generation of various mode profiles at the transmitter that, after propagation
through turbulence, closely resemble the desired target mode. The corrected
optical mode profiles at the receiver are found to be nearly identical to the
desired profiles, with near-zero mean square error indices. We are hopeful that
the present results combining the fields of machine learning and optical
communications will greatly enhance the robustness of free-space optical links.

Signal Processing;Optics;Quantum Physics