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Discovering the laws behind complex networked systems
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DOI：10.1038/s43588-025-00929-z.png)
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摘要
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一项近期研究显示，神经符号回归为在高维复杂系统中自动发现网络动力学的控制方程提供了一条途径。
Keyword:
neural symbolic regression
governing equations
complex systems
network dynamics
automated discovery
期刊
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18.3
论文数:
3.1K
被引数:
4.0K
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引用论文
Learning interpretable network dynamics via universal neural symbolic regression通过通用神经符号回归学习可解释的网络动力学.png)
Nature Communications
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