Yanming Wang1,2,3, Kebin Jia1,2,3,*, Pengyu Liu1,2,3
Journal on Internet of Things, Vol.2, No.3, pp. 109-120, 2020, DOI:10.32604/jiot.2020.010138
- 16 September 2020
Abstract With the global climate change, the high-altitude detection is more
and more important in the climate prediction, and the input-output characteristic
curve of the air pressure sensor is offset due to the interference of the tested
object and the environment under test, and the nonlinear error is generated.
Aiming at the difficulty of nonlinear correction of pressure sensor and the low
accuracy of correction results, depth neural network model was established based
on wavelet function, and Levenberg-Marquardt algorithm is used to update
network parameters to realize the nonlinear correction of pressure sensor. The
experimental results More >
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