A new method called the learned Born series (LBS) is introduced for solving the wave equation, where the components of the LBS are determined through training. The LBS is found to be more accurate than the convergent Born series for the same number of iterations, especially in the presence of high contrast scatterers, while maintaining a similar computational complexity. It is capable of generating a reasonable prediction of the global pressure field with a small number of iterations, and the errors decrease with the number of learned iterations.
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.
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