TEMPERATURE COMPENSATION STRATEGY OF PRESSURE SENSOR BASED ON BP NEURAL NETWORK OPTIMIZED BY GLOWWORM SWARM OPTIMIZATION

TEMPERATURE COMPENSATION STRATEGY OF PRESSURE SENSOR BASED ON BP NEURAL NETWORK OPTIMIZED BY GLOWWORM SWARM OPTIMIZATION

In order to solve the problem that temperature drift of silicon piezoresistive pressure sensor affects the accuracy of engineering measurement,proposed a temperature compensation strategy for BP neural network based on glowworm swarm optimization. The generalized BP neural network is used to optimiz...

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Bibliographic Details
Main Authors: WANG Hui, FU Peng, SONG YuNing
Format: Article
Language:zho
Published: Editorial Office of Journal of Mechanical Strength 2020-01-01
Series:Jixie qiangdu
Subjects:
Glowworm swarm optimization
BP neural network
Sensor
Temperature compensation
Online Access:http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.01.017

Internet

http://www.jxqd.net.cn/thesisDetails#10.16579/j.issn.1001.9669.2020.01.017

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