使.

Gabriel Fernández-Fernández1, Carlo Manzo2,3, Maciej Lewenstein1,4

  • 1<a href="https://ror.org/03g5ew477">ICFO-Institut de Ciències Fotòniques</a>, The <a href="https://ror.org/03kpps236">Barcelona Institute of Science and Technology</a>, Av. Carl Friedrich Gauss 3, 08860 Castelldefels (Barcelona), Spain.

Physical review. E
|August 20, 2024
PubMed
概括

本研究介绍了一种无监督机器学习方法,用于识别随机过程中的关键参数. 该方法有助于理解复杂的自然现象,通过准确地描述动力学和生成现实的模拟.

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