Research on Random Drift Model Identification and Error Compensation Method of MEMS Sensor Based on EEMD-GRNN

Random drift error is one of the important factors of MEMS (micro-electro-mechanical-system) sensor output error. Identifying and compensating sensor output error is an important means to improve sensor accuracy. In order to reduce the impact of white noise on neural network modeling, the ensemble e...

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Detalles Bibliográficos
Autores principales: Shi, Yonglei, Fang, Liqing, Xue, Zhanpu, Qi, Ziyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316561/
https://www.ncbi.nlm.nih.gov/pubmed/35890904
http://dx.doi.org/10.3390/s22145225

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9316561/
https://www.ncbi.nlm.nih.gov/pubmed/35890904
http://dx.doi.org/10.3390/s22145225

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