paper
2020
Observations & remote sensing
New model or method
Classical ML (trees, GP, linear, kernels) Journal
2020-10-15
004
Oct 2020
Y. M. Wang, Kebin Jia, P.Y. Liu et al.
Journal of Instrumentation
Uses an enhanced back-propagation network with Gaussian activation and Levenberg-Marquardt training to calibrate an atmospheric pressure sensor, cutting MSE from 5.93 to 0.77 on a microcontroller.
Calibration method of meteorological sensor based on enhanced BP network
In one sentence. Uses an enhanced back-propagation network with Gaussian activation and Levenberg-Marquardt training to calibrate an atmospheric pressure sensor, cutting MSE from 5.93 to 0.77 on a microcontroller.
Labels
- Topic
- Observations & remote sensing
- Type
- New model or method
- Method
- Classical ML (trees, GP, linear, kernels)
- Domain
- Local / station
- Data
- Station / in-situ
- Status
- Pre-operational / experimental
- Identifiers
- DOI:10.1088/1748-0221/15/10/p10014 OpenAlex:W3121203298
- Added
- 2026-10-22
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