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English(EN) Neural Surrogate Modeling of Ultrasonic Wave Propagation in Heterogeneous Media

新型神经代理模型增强超声波传播模拟

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员开发了一种新颖的神经代理模型，可改进复杂异质介质中超声波传播的模拟。该模型将傅里叶神经算子（FNO）与U-Net架构相结合，解决了先前方法在捕捉反射等关键信号特征或跨空间尺度信息传递方面的局限性。所提出的方法对输入噪声表现出鲁棒性，并能以有限的数据进行有效训练，为超声传感应用提供了更高效、更准确的工具。 AI

影响 这项研究有望为超声传感应用带来更高效、更准确的模拟。

排序理由 该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新型神经代理模型增强超声波传播模拟

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该集群包含一篇详细介绍新研究方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.LG TIER_1 English(EN) · Burla Nur Korkmaz, Petro Moilanen, Ari Salmi, Harsha Vardhan Tetali, Arto Klami ·

    异质介质中超声波传播的神经代理建模

    arXiv:2610.13258v1 Announce Type: new Abstract: Neural surrogates provide computationally efficient auto-regressive modeling of wave propagation, enabling e.g. fast inverse solutions. Despite recent progress, the current surrogates are not yet sufficient for the needs of ultrason…

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