English(EN) Model discovery for dynamical systems with complex-valued product units

新AI方法发现动力学系统方程

作者 PulseAugur 编辑部 · [2 个来源] · 2026-05-26 15:18

研究人员开发了一种新颖的数据驱动方法来发现动力学系统的控制方程。该方法利用复值乘积单元网络，直接从数据中学习相关的复数单项式，无需预定义的函数库。该方法在恢复混沌基准系统的方程方面表现出高精度，并在分析真实世界人类步态数据方面显示出潜力。 AI

排序理由该集群包含一篇研究论文，详细介绍了动力学系统中模型发现的新方法。

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

报道来源 [2]

arXiv cs.CV TIER_1 English(EN) · Martin Br\"uckmann, Babette Dellen, Uwe Jaekel · 2026-05-27 04:00

Model discovery for dynamical systems with complex-valued product units

arXiv:2605.27158v1 Announce Type: new Abstract: Discovering the governing equations of a dynamical system from observed trajectories provides deeper insight into its structure than mere prediction of future states. We present a data-driven approach to model discovery based on com…
arXiv cs.CV TIER_1 English(EN) · Uwe Jaekel · 2026-05-26 15:18

Model discovery for dynamical systems with complex-valued product units

Discovering the governing equations of a dynamical system from observed trajectories provides deeper insight into its structure than mere prediction of future states. We present a data-driven approach to model discovery based on complex-valued product-unit networks, in which each…