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神经网络中退化的随机微分方程的稳定和高效学习

Zhiding Wang1, Ming Yi1, Ting Gao2

  • 1School of Mathematics and Physics, China University of Geosciences, Wuhan 430074, China.

Chaos (Woodbury, N.Y.)
|March 3, 2026
PubMed
概括

我们开发了三种新的算法,用于学习具有困难,退化的噪音的随机微分方程 (SDEs). 这些方法提高了复杂动态系统建模的稳定性和准确性,优于传统方法.

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