Quantitative Identification Method for Glass Panel Defects Using Microwave Detection Based on the CSAPSO-BP Neural Network

Quantitative Identification Method for Glass Panel Defects Using Microwave Detection Based on the CSAPSO-BP Neural Network

To address the problem of the quantitative identification of glass panel surface defects, a new method combining the chaotic simulated annealing particle swarm algorithm (CSAPSO) and the BP neural network is proposed for the quantitative evaluation of microwave detection signals of glass panel defec...

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Bibliographic Details
Main Authors: Jun Fang, Zhiyang Deng, Jun Tu, Xiaochun Song
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:Sensors
Subjects:
glass panel
chaos
simulated annealing algorithm
particle swarm optimization algorithm
microwave detection
quantitative identification
Online Access:https://www.mdpi.com/1424-8220/23/3/1097

Internet

https://www.mdpi.com/1424-8220/23/3/1097

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