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Updated: Jan 15, 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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以反为基础的 Feed-forward 神经网络的优化,用于模拟复杂的非线性动态系统,使用新的 APSOBP 算法

Shobana R1, Rajesh Kumar2, Bhavnesh Jaint3

  • 1Department of Electrical Engineering, Delhi Technological University, Shahbad Daulatpur, Main Bawana Road, Delhi 110042, India; Department of Electrical & Electronics Engineering, Galgotias College of Engineering and Technology, Greater Noida 201310, India.

ISA transactions
|October 8, 2025
PubMed
概括

本研究介绍了一种混合的自适应粒子集群优化-反向传播 (APSO-BP) 算法,用于训练神经网络以识别非线性系统. 与传统算法相比,APSO-BP方法提高了合性和准确性.

关键词:
适应性粒子群优化-反向传播算法反向传播算法反向传播算法料转发神经网络是指一个神经网络.粒子群优化算法 粒子群优化算法

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A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions07:34

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