通过聚类方法从散射数据中识别多层粒子
Identification of multilayered particles from scattering data by a clustering method
AI总结：
针对非玻恩散射区域，研究通过平面声波或电磁波散射数据识别多层粒子的层数和折射系数的逆散射问题，引入降维过程并结合全局概率最小化方法求解。
摘要：
一个多层粒子被一个或多个频率的平面声波或电磁波照射。我们考虑在非玻恩散射区域中识别散射体的层数和折射系数的逆散射问题。研究了局部确定性和全局概率最小化方法。引入了一种特殊的降维过程来减少最小化空间的维度。使用Deep方法和多层单链方法进行全局最小化来解决逆问题。分析了它们在不同多层配置下的性能。
英文摘要：
A multilayered particle is illuminated by plane acoustic or electromagnetic waves of one or several frequencies. We consider the inverse scattering problem for the identification of the layers and of the refraction coefficients of the scatterer in a non-Born region of scattering. Local deterministic and global probabilistic minimization methods are studied. A special Reduction Procedure is introduced to reduce the dimensionality of the minimization space. Deep's and the Multilevel Single-Linkage methods for global minimization are used for the solution of the inverse problem. Their performance is analyzed for various multilayer configurations.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
