论文标题
一个博学的出生系列，用于高度分散的媒体
A Learned Born Series for Highly-Scattering Media
论文作者
论文摘要
提出了一种解决波动方程的新方法，称为学习的诞生系列（LBS），该系列是从收敛的born系列中得出的，但其组件是通过训练找到的。在存在高对比度散射体的情况下，在相同数量的迭代中，LBS比收敛性序列比收敛性序列更准确，同时保持了可比的计算复杂性。 LBS能够使用少量迭代来生成对全球压力场的合理预测，并且随着学习的迭代次数的数量，错误会减少。
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.
