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Updated: Jul 18, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
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在物理信息的神经网络和变化物理信息的神经网络中强制执行迪里克莱特边界条件

S Berrone1, C Canuto1, M Pintore1

  • 1Dipartimento di Scienze Matematiche, Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy.

Heliyon
|August 21, 2023
PubMed
概括

我们介绍了在物理信息神经网络 (PINNs) 和变量PINNs中强制执行迪里克莱特边界条件的四种方法. 与传统的惩罚方法相比,修改神经网络输出以匹配边界值提供了更有效和更准确的解决方案.

关键词:
35A1515 这是一个很大的问题.65K1010 这样就好了.65L1010 这是一个很好的例子.65L2020 65L2020 这是一个很好的选择.68T0505 这是一个很好的例子.估计距离函数 估计距离函数深度神经网络是一种深度神经网络.迪里克莱特的边界条件皮恩 皮恩 皮恩VPINNN 在这里.

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