Temperature Compensation Method Based on an Improved Firefly Algorithm Optimized Backpropagation Neural Network for Micromachined Silicon Resonant Accelerometers

Temperature Compensation Method Based on an Improved Firefly Algorithm Optimized Backpropagation Neural Network for Micromachined Silicon Resonant Accelerometers

The output of the micromachined silicon resonant accelerometer (MSRA) is prone to drift in a temperature-changing environment. Therefore, it is crucial to adopt an appropriate suppression method for temperature error to improve the performance of the accelerometer. In this study, an improved firefly...

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Bibliographic Details
Main Authors: Ding, X. (Author), Huang, L. (Author), Jiang, L. (Author), Zhao, L. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Accelerometers
Back-propagation neural networks
Bioluminescence
BP neural networks
firefly algorithm
Firefly algorithms
Micromachined silicon
micromachined silicon resonant accelerometer
Micromachined silicon resonant accelerometer
Net work
neural net-work
Neural net-work
Neural network models
Optimization
Room temperature
Silicon
Silicon resonant accelerometers
temperature compensation
Temperature compensation
Temperature distribution
Zero bias
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