  A new method for solving the wave equation is presented, called the learned
Born series (LBS), which is derived from a convergent Born Series but its
components are found through training. The LBS is shown to be significantly
more accurate than the convergent Born series for the same number of
iterations, in the presence of high contrast scatterers, while maintaining a
comparable computational complexity. The LBS is able to generate a reasonable
prediction of the global pressure field with a small number of iterations, and
the errors decrease with the number of learned iterations.
