Abstract
For the purpose of reducing the drift of the Quartzes Flexible accelerometer outputs in different temperatures, an improved BP algorithm based on GA (Genetic Algorithm) for temperature drift compensation of Quartzes Flexible accelerometer is studied in this paper. Based on the theory analysis and the simulation, the GA model has less training steps and better fitting precision compared with BP Neural Network. The results show that this method on temperature drift compensation of quartz flexible accelerometer has achieved good effect.
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