An Aeromagnetic Compensation Algorithm Based on a Residual Neural Network
Abstract
:1. Introduction
2. Compensation Model and Method
2.1. T-L Model
2.2. Primitive Neural Model
2.3. Res-Bp
3. Experiment
3.1. Compensation Flight
3.2. Compensation Experiment
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
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Test Set | Training Set | Method | STDu | STDc | IR |
---|---|---|---|---|---|
Flight A | Flight B | LS | 2.171 | 0.355 | 6.115 |
RR | 0.324 | 6.701 |
Test Set | Training Set | Method | STDu | STDc | IR |
---|---|---|---|---|---|
Flight B | Flight A | BP | 2.334 | 0.294 | 7.939 |
Res-Bp | 0.260 | 8.977 | |||
Flight A | Flight B | BP | 2.112 | 0.285 | 7.411 |
Res-Bp | 0.266 | 7.940 |
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Yu, P.; Bi, F.; Jiao, J.; Zhao, X.; Zhou, S.; Su, Z. An Aeromagnetic Compensation Algorithm Based on a Residual Neural Network. Appl. Sci. 2022, 12, 10759. https://doi.org/10.3390/app122110759
Yu P, Bi F, Jiao J, Zhao X, Zhou S, Su Z. An Aeromagnetic Compensation Algorithm Based on a Residual Neural Network. Applied Sciences. 2022; 12(21):10759. https://doi.org/10.3390/app122110759
Chicago/Turabian StyleYu, Ping, Fengyi Bi, Jian Jiao, Xiao Zhao, Shuai Zhou, and Zhenning Su. 2022. "An Aeromagnetic Compensation Algorithm Based on a Residual Neural Network" Applied Sciences 12, no. 21: 10759. https://doi.org/10.3390/app122110759
APA StyleYu, P., Bi, F., Jiao, J., Zhao, X., Zhou, S., & Su, Z. (2022). An Aeromagnetic Compensation Algorithm Based on a Residual Neural Network. Applied Sciences, 12(21), 10759. https://doi.org/10.3390/app122110759