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Updated: Jun 5, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Published on: October 28, 2022

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通过反向传播方法估计同步方程模型,使用随机梯度下降方法

Belén Pérez-Sánchez1, Carmen Perea1, Guillem Duran Ballester2

  • 1Center of Operations Research, Universidad Miguel Hernández de Elche, Elche, Alicante, Spain.

PeerJ. Computer science
|December 9, 2024
PubMed
概括

本研究介绍了人工神经网络 (ANN) 作为解决同时方程模型 (SEM) 的新方法. 通过将 SEM 变量视为 ANN 神经元和系数视为连接重量,它提出了随机梯度下降 (SGD) 的反向传播以估计系数.

关键词:
人工神经网络的人工神经网络通过反向传播的方法.同时方程模型的模型.随机梯度下降 随机梯度下降

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