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Bright Kwaku Manu1, Trevor Reckell2, Beckett Sterner3

  • 1School of Computing and Augmented Intelligence Arizona State University, Tempe, 85281.

ArXiv
|July 25, 2025
PubMed
概括

我们开发了一个神经替代模型,以估计在随机彼得里网 (SPN) 中的参数,即使缺少数据. 这种数据驱动的方法为复杂的系统提供了快速而准确的参数恢复.

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