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Oct, 2023
耦合动力系统中的相互作用网络的机器学习
Machine learning the interaction network in coupled dynamical systems
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Pawan R. Bhure, M. S. Santhanam
TL;DR
利用自监督神经网络模型从观察到的轨迹数据中恢复相互作用网络并预测个体动力学的研究,应用于耦合粒子和耦合振荡器(Kuramoto)的两个动力系统。
Abstract
The study of
interacting dynamical systems
continues to attract research interest in various fields of science and engineering. In a collection of interacting particles, the
interaction network
contains informati
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