电子技术2024,Vol.53Issue(6) :90-91.

基于深度学习的自动化系统状态识别与智能控制分析

Analysis of State Recognition and Intelligent Control of Automation Systems Based on Deep Learning

刘鑫源
电子技术2024,Vol.53Issue(6) :90-91.

基于深度学习的自动化系统状态识别与智能控制分析

Analysis of State Recognition and Intelligent Control of Automation Systems Based on Deep Learning

刘鑫源1
扫码查看

作者信息

  • 1. 三峡大学电气与新能源学院,湖北 443002
  • 折叠

摘要

阐述基于深度学习的电气自动化系统状态识别与智能控制.通过对系统状态进行准确识别,获得实时数据,成功实现智能控制策略的优化.深度学习技术的引入使系统更加智能化、高效化.

Abstract

This paper describes the state recognition and intelligent control of electrical automation systems based on deep learning.It accurately identifies the system status,obtains real-time data,and successfully optimizes intelligent control strategies.The introduction of deep learning technology has made the system more intelligent and efficient.

关键词

自动化系统/深度学习/系统状态识别

Key words

automation system/deep learning/system state recognition

引用本文复制引用

出版年

2024
电子技术
上海市电子学会,上海市通信学会

电子技术

影响因子:0.296
ISSN:1000-0755
段落导航相关论文