E.M. Inverse Scattering and Multi-Layer Perceptrons: Towards the automatic reconstruction of buried layers' properties

S. Caorsi, M. Stasolla
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Abstract

The goal of this paper is a preliminary robustness assessment of a recently published ANN-based algorithm for the evaluation of subsurface layers' properties. In particular, the analysis will focus on the dependency of overall performances on the training set dimensions and the neural networks capabilities of managing numerical errors.
电磁逆散射与多层感知器:面向埋藏层性质的自动重建
本文的目标是对最近发表的一种基于人工神经网络的算法进行鲁棒性评估,该算法用于评估次表层的性质。特别是,分析将集中在整体性能对训练集维度的依赖性和管理数值误差的神经网络能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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