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English(EN) Learning Effective Soliton Dynamics from Scattering Data

新方法从散射数据中推导孤子动力学

研究人员开发了一种新颖的方法,可以直接从散射数据中推导孤子动力学,超越了传统的分析方法。这种数据驱动的技术将逆散射变换(IST)的概念框架与弱形式系统识别相结合。通过在散射域中操作,该方法避免了特设曲线拟合,并产生了适用于扰动和近可积区域的可解释的低维模型。该方法已成功应用于由 Korteweg--de Vries 型浅水方程控制的合成数据和实验数据,生成的模型与已建立的 IST 理论一致。 AI

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新方法从散射数据中推导孤子动力学

报道来源 [2]

  1. arXiv stat.ML TIER_1 English(EN) · Seth Minor, Vanja Dukic, David M. Bortz ·

    Learning Effective Soliton Dynamics from Scattering Data

    arXiv:2607.01545v1 Announce Type: cross Abstract: The inverse scattering transform (IST) provides the standard theoretical framework for deriving soliton dynamics. Traditionally, such derivations have been of an analytical, rather than data-driven, nature. In this paper, we combi…

  2. arXiv stat.ML TIER_1 English(EN) · David M. Bortz ·

    Learning Effective Soliton Dynamics from Scattering Data

    The inverse scattering transform (IST) provides the standard theoretical framework for deriving soliton dynamics. Traditionally, such derivations have been of an analytical, rather than data-driven, nature. In this paper, we combine the conceptual framework of the IST with weak-f…