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Temperature Drift Compensation of a MEMS Accelerometer Based on DLSTM and ISSA
In order to improve the performance of a micro-electro-mechanical system (MEMS) accelerometer, three algorithms for compensating its temperature drift are proposed in this paper, including deep long short-term memory recurrent neural network (DLSTM-RNN, short DLSTM), DLSTM based on sparrow search al...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9959158/ https://www.ncbi.nlm.nih.gov/pubmed/36850406 http://dx.doi.org/10.3390/s23041809 |