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Updated: May 4, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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基于物理学的神经网络与混合的科尔摩戈罗夫-阿诺德网络和增强的拉格朗基函数用于解决部分微分方程

Zhaoyang Zhang1, Qingwang Wang2, Yinxing Zhang1

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China.

Scientific reports
|March 28, 2025
PubMed
概括

使用Kolmogorov-Arnold网络 (KANs) 的物理信息神经网络 (PINNs) 改善了部分微分方程的解决. 通过动态学习约束,AL-PKAN模型提高了准确性和可解释性.

关键词:
增强的拉格朗日函数科尔摩戈罗夫-阿诺德网络部分微分方程部分微分方程.基于物理学的神经网络.

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