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Updated: Jan 8, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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PDE-GANet:部分微分方程的发现由对抗式学习提供动力

Bin Wang1, Yuxuan Gao1, Shenglin Guo1

  • 1School of Electronic Engineering, Xidian University, No. 2, South Taibai Road, Xi'an, Shaanxi, 710071, PR China.

Neural networks : the official journal of the International Neural Network Society
|December 11, 2025
PubMed
概括

本研究介绍了PDE-GANet,这是一个新的深度学习网络,用于从数据中发现支配部分微分方程 (PDEs). 与现有的方法相比,PDE-GANet在PDE表达和数值溶液估计方面都取得了更高的准确性.

关键词:
深度象征网络是一个深度象征网络.生成性的对抗性网络.部分微分方程部分微分方程.经常性的神经网络.

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